149 Scala Jobs nearby Nanded

Job Description  We are seeking a seasoned GCP Data Analytics professional with extensive experience in Big Data technologies and Google Cloud Platform services to design and implement scalable data solutionsDesign develop and optimize data pipelines using GCP BigQuery Dataflow and Apache Airflow to support largescale data analytics Utilize the Big Data Hadoop ecosystem to manage and process vast datasets efficiently Collaborate with crossfunctional teams to gather requirements and deliver reliable data solutions Ensure data quality consistency and integrity across multiple data sources Monitor and troubleshoot data workflows to maintain high system availability and performance Stay updated with emerging trends and best practices in GCP data analytics and big data technologiesRoles and Responsibilities  Implement and manage ETL processes leveraging GCP services such as BigQuery Dataflow and Airflow Develop.  Scalable maintainable and reusable data pipelines to support business intelligence and analytics needs.  Optimize SQL queries and data models for performance and cost efficiency in BigQuery.  Integrate Hadoop ecosystem components with GCP services to enhance data processing capabilities  Automate workflow orchestration using Apache Airflow for seamless data operations  Collaborate with data engineers analysts and stakeholders to ensure alignment of data solutions with organizational goals  Participate in code reviews testing and deployment activities adhering to best practices   Mentor junior team members and contribute to continuous improvement initiatives within the data engineering team Mandatory Skills :    GCP Storage,GCP BigQuery,GCP DataProc,GCP Cloud Composer,GCP DMS,Apache airflow,Java,Python,Scala,GCP Datastream,Google Analytics Hub,GCP Workflows,GCP Dataform,GCP Datafusion,GCP Pub/Sub,ANSI-SQL,GCP Dataflow,GCP Data Flow,GCP Cloud Pub/Sub,Big Data Hadoop Ecosystem

Job Title: Senior Cloud Data Engineer AWS Location: Nagpur Experience: 7-9 Years Qualification: Bachelors Degree Job Overview: We are looking for a skilled Senior Cloud Data Engineer AWS to support cloud and data engineering initiatives. The ideal candidate should have strong expertise in AWS, Python, SQL/Scala, and big data technologies, with hands-on experience in building scalable ETL/ELT pipelines and cloud-native data solutions. Key Skills: AWS (Core Data & Compute Services) Big Data Technologies Python / SQL / Scala Apache Frameworks ETL/ELT Pipeline Development Cloud Architecture & Data Storage Solutions Responsibilities: Design, develop, and optimize scalable ETL/ELT pipelines on AWS. Manage cloud-based data storage and big data solutions. Architect cloud infrastructure aligned with business objectives. Monitor system performance and troubleshoot issues. Collaborate with cross-functional teams for data integration and delivery.  

We have an exciting opportunity for the role of Data Engineer. Please find the details below: Job Description: Total experience required: 6+ yearsMinimum 3 years of experience in PySparkLocation: Pune Chennai and Bangalore. Strong programming skills in Python and PySpark (Scala is preferred)Experience in designing and implementing CI/CD, build management, and development strategiesHands-on experience with SQL and SQL analytical functionsExposure to key business, architectural, and technical decision-making processesOpportunity to get trained on AWS cloud technologyProficient in leveraging Spark for distributed data processing and transformationSkilled in optimizing data pipelines for efficiency and scalabilityExperience with real-time data processing and integrationFamiliarity with Apache Hadoop ecosystem componentsStrong problem-solving abilities for handling large-scale datasetsExcellent collaboration and communication skills for working with cross-functional teamsPrimary Skills: PySpark and SQL Secondary Skills: Experience with AWS, Azure, or GCP would be an added advantageIf interested, please apply. Best regards,HR Team, Capgemini

Job Description-  Data EngineerTotal yrs of exp should be 6+yrs   Must have 3+ years in Pyspark. Strong programming experience, Python, Pyspark, Scala is preferred. Experience in designing and implementing CI/CD, Build Management, and Development strategy. Experience with SQL and SQL Analytical functions, experience participating in key business, architectural and technical decisions Scope to get trained on AWS cloud technology Proficient in leveraging Spark for distributed data processing and transformation. Skilled in optimizing data pipelines for efficiency and scalability. Experience with real-time data processing and integration. Familiarity with Apache Hadoop ecosystem components. Strong problem-solving abilities in handling large-scale datasets. Ability to collaborate with cross-functional teams and communicate effectively with stakeholders. Primary Skills : Pyspark SQL Secondary Skill: Experience on AWS/Azure/GCP would be added advantage

Role Overview: As a Big Data Engineer specializing in Spark & Scala, you will be responsible for developing and optimizing big data processing pipelines using Apache Spark and Scala. Your role will involve designing and implementing ETL workflows for large-scale batch and real-time data processing. Additionally, you will be expected to optimize Spark performance through partitioning, caching, and memory/shuffle tuning. Collaboration with cross-functional teams and adherence to best practices in coding, testing, and deployment are essential aspects of this role. Key Responsibilities: - Develop and optimize big data processing pipelines using Apache Spark (Core, SQL, Streaming) and Scala. - Design and implement ETL workflows for large-scale batch and real-time data processing. - Optimize Spark performance through partitioning, caching, and memory/shuffle tuning. - Work with big data ecosystems like Hadoop, Hive, HDFS, and cloud platforms (AWS/Azure/GCP). - Collaborate with cross-functional teams and follow best practices in coding, testing, and deployment. Qualifications Required: - Bachelor's degree in a relevant field. - 6 to 10 years of experience in a similar role. - Strong expertise in Apache Spark and Scala. - Familiarity with big data ecosystems like Hadoop, Hive, HDFS, and cloud platforms. - Self-confidence and patience. (Note: The additional details of the company were not provided in the job description.),

Role Overview: As a Scala Spark Developer, you will be responsible for leveraging your expertise in Apache Spark, Big Data Hadoop Ecosystem, SparkSQL, and Scala to design and develop big data platforms. Your deep understanding of modern data processing technology stacks and streaming data architectures will be pivotal in enabling real-time and low-latency data processing. Key Responsibilities: - Possessing 5+ years of Scala and Spark experience, with a focus on Data Engineering - Demonstrating hands-on experience in the design and development of big data platforms - Utilizing expertise in Spark, HBase, Hive, and other Hadoop ecosystem technologies for development using Scala - Understanding and implementing streaming data architectures and technologies for real-time and low-latency data processing - Applying agile development methods and principles, including Continuous Integration/Delivery - Having experience with NoSQL technologies and a passion for software craftsmanship - Demonstrating strong knowledge of Spark internals, configuration, memory management, Scala, and Databricks Qualifications Required: - 5+ years of experience in Scala and Spark - Expertise in Data Engineering - Deep understanding of modern data processing technology stacks - Hands-on experience with Spark, HBase, Hive, and other Hadoop ecosystem technologies - Proficiency in Scala and SparkSQL - Experience with agile development methods - Understanding of Continuous Integration/Delivery principles - Familiarity with NoSQL technologies is a plus - Passion for software craftsmanship - Experience in the Financial Industry is a plus Please share your updated resume to preethi.r@ltimindtree.com to apply for this role.,

As an Applications Development Programmer Analyst at our company, your main objective will be to contribute to applications systems analysis and programming activities. You will participate in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. Your key responsibilities in this role will include: - Utilizing your knowledge of applications development procedures and concepts to identify and define necessary system enhancements. - Identifying and analyzing issues, making recommendations, and implementing solutions based on your understanding of business processes, system processes, and industry standards to solve complex issues. - Analyzing information to recommend solutions and improvements, conducting testing and debugging, writing basic code for design specifications, and assessing risk when making business decisions. To excel in this position, you should have: - Hands-on experience in designing, developing, and optimizing scalable distributed data processing pipelines using Apache Spark and Scala. - 3 to 6+ years of experience in big data development, focusing on Apache Spark, Scala/Python, and distributed systems. - Advanced knowledge of Scala, a good understanding of Python for data engineering tasks, solid understanding of data modeling principles and ETL processes in big data environments. - Strong analytical and problem-solving skills in analyzing and solving performance issues in Spark jobs and distributed systems. - Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications. - Experience with streaming platforms such as Apache Kafka or Spark Streaming. You should hold a Bachelor's degree/University degree or equivalent experience to be considered for this position. Please note that this job description provides an overview of the work performed, and other job-related duties may be assigned as required.,

You will be responsible for designing, building, and maintaining data pipelines (ETL / ELT) and ingesting, transforming, and integrating data from various sources. You will also optimize data storage in data lakes and warehouses, ensuring data quality, consistency, and governance. Additionally, you will collaborate with analytics and data science teams on datasets and monitor, log, and alert data infrastructure. Key Responsibilities: - Design, build, and maintain data pipelines (ETL / ELT) - Ingest, transform, and integrate data from various sources - Optimize data storage in data lakes and warehouses - Ensure data quality, consistency, and governance - Collaborate with analytics and data science teams on datasets - Monitor, log, and alert data infrastructure Qualifications Required: - 6+ years in data engineering or related roles - Proficiency in SQL, Python, Scala, or Java - Experience with ETL/ELT tools such as Airflow, Spark, NiFi, etc. - Familiarity with cloud data platforms like AWS, GCP, Azure - Knowledge of big data technologies like Hadoop, Kafka, Spark (is a plus) - Experience in data modeling, partitioning, and performance tuning (Note: No additional company details were provided in the job description.),

As a Scala Developer at the technology services organisation in the IT & Cloud Software sector, your role will involve owning backend services and streaming solutions that deliver low-latency, high-throughput business capabilities for enterprise customers. **Key Responsibilities:** - Design and implement production-grade backend microservices using Scala and functional programming patterns to deliver reliable APIs and business logic. - Develop and optimize batch and streaming data pipelines leveraging Apache Spark and Apache Kafka for real-time processing and analytics. - Build cloud-native applications and deploy services on AWS, collaborating on infrastructure-as-code, security, and cost optimization. - Write automated tests, maintain CI/CD pipelines, perform code reviews, and enforce engineering best practices for performance and observability. - Collaborate cross-functionally with Product, Data Engineering, and SRE teams to define SLAs, design APIs, and instrument telemetry (metrics, logging, tracing). - Troubleshoot production incidents, perform application profiling, and implement performance improvements and capacity planning. **Qualifications Required:** - Must-Have: Scala, Akka, Play Framework, Apache Spark, AWS, Apache Kafka - Preferred: SBT, Docker, Kubernetes If you are a hands-on Scala engineer with proven AWS and streaming experience, this role offers a high-impact, technically deep opportunity to shape critical backend platforms. The company provides an on-site, collaborative engineering environment with direct mentorship from senior backend and cloud architects. You will have the opportunity to work on large-scale streaming and analytics systems with clear ownership and measurable business impact. Additionally, there is a learning-first culture with technical training, conference sponsorship, and career growth paths into architecture and technical leadership.,

As a Data Engineer at DataNimbus, you will play a crucial role in designing, developing, and maintaining a highly scalable data warehouse solution in BigQuery. Your responsibilities will include: - Designing data models, schemas, and partitioning strategies to ensure efficient query performance. - Building and maintaining ETL/ELT pipelines using tools like Dataflow, Dataproc, Cloud Composer (Airflow), or dbt. - Optimizing query performance and managing cost-efficient BigQuery usage. - Implementing data governance, security, and compliance best practices such as IAM, data masking, and audit logging. - Collaborating with data analysts, data scientists, and business stakeholders to deliver reliable, high-quality datasets. - Ensuring data quality and consistency through monitoring, validation, and testing. - Mentoring junior engineers and contributing to best practices, coding standards, and documentation. Qualifications required for this role include: - 6+ years of experience in Data Engineering, with at least 3+ years working on BigQuery in a production environment. - Strong SQL expertise, including query optimization and advanced SQL features. - Proficiency in at least one programming language (Python, Java, or Scala). - Experience with the cloud data ecosystem, with a preference for Google Cloud Platform. - Strong understanding of data modeling, star/snowflake schemas, and OLAP concepts. - Hands-on experience with ETL/ELT frameworks and workflow orchestration tools like Airflow, Cloud Composer, and dbt. - Knowledge of data governance, lineage, and security practices. - Familiarity with streaming/batch data ingestion tools such as Pub/Sub, Kafka, or equivalent. - Exposure to machine learning workflows in BigQuery ML. - Experience with BI/visualization tools like Looker, Tableau, or Power BI. At DataNimbus, you will have the opportunity to work with cutting-edge technologies, contribute to solutions trusted by global businesses, and grow personally and professionally in a culture that values curiosity and continuous learning. If you are passionate about innovation, enjoy solving complex challenges with simplicity, and are eager to make a difference, DataNimbus is the place for you.,

As a highly skilled and experienced Scala Engineer, you will be joining our Core Banking Base Development team to contribute to the development and delivery of our next-generation banking platform. Your responsibilities will include designing, developing, and implementing high-quality, scalable, and resilient solutions using cutting-edge technologies like Scala, Akka, and Microservices. You will work closely with cross-functional teams to ensure successful project delivery and mentor junior engineers to contribute to the team's growth. **Key Responsibilities:** - Design, develop, and deploy high-performance, scalable, and resilient Microservices using Scala and Akka. - Leverage Akka Streams for efficient data processing and stream processing. - Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) practices. - Participate in all phases of the software development lifecycle and adhere to agile methodologies. - Proactively identify and resolve technical challenges. - Stay updated with the latest advancements in Scala, Akka, and other relevant technologies. **Qualifications:** - 3-8 years of hands-on experience in Scala and Akka HTTP, Akka Actor. - Strong understanding of Akka Streams and its applications. - Experience in designing and developing Microservices architectures. - Proficiency in Test-Driven Development (TDD) and experience with message brokers. - Hands-on experience with Docker, Kubernetes, and cloud platforms. - Knowledge of scripting languages like Bash, Python and experience with CI/CD pipelines. - Familiarity with GRPC protocol, Protocol Buffers, and DevOps practices. - Excellent communication, collaboration, and problem-solving skills. This position offers the opportunity for growth and development in the Financial Industry and Core Banking domain. If you have the required qualifications and experience, please submit your resume and cover letter to hr@accelerecrm.com.,

As a Scala / Java Developer at Barclays, you will spearhead the evolution of the digital landscape by driving innovation and excellence. You will utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. **Key Responsibilities:** - Skilled Scala and Java engineer with experience in designing and implementing end-to-end solutions. - Proficiency in JavaScript, Backbone JS. - Knowledge of design patterns, application security aspects, and experience in developing REST APIs using Spring Data REST and Spring BOOT Framework. - Experience with a CI/DevOps pipeline including git, Maven/Gradle, Jenkins, and conducting performance tests using Jmeter/JProfiler. - Self-motivated with the ability to overcome obstacles and self-teach new concepts. - Degree in Engineering or Computer Science or similar. **Qualifications Required:** - Skilled Scala and Java engineer with end-to-end solution design and implementation experience. - Proficiency in JavaScript, Backbone JS. - Knowledge of design patterns, application security aspects, and experience in developing REST APIs using Spring Data REST and Spring BOOT Framework. - Experience with CI/DevOps pipeline tools like git, Maven/Gradle, Jenkins, and performance testing using Jmeter/JProfiler. - Self-motivated individual with problem-solving skills and ability to learn new concepts. - Degree in Engineering or Computer Science or similar.,

Role Overview: As the Manager, Technology - Data, Analytics & AI at Williams-Sonoma India Pvt. Ltd., you will own the health, performance, and growth of a multidisciplinary team consisting of Data/BI/ML Engineers and Analysts. Your responsibilities will include creating conditions for sustainable high performance, enabling the team to turn business problems into robust solutions, and driving the maturing of practices, processes, and talent within the Data, Analytics & AI domains. Key Responsibilities: - Manage, coach, and develop a high-performing team by handling hiring, goal setting, feedback, and growth planning. - Partner with Tech Leadership, Product, and Business stakeholders to convert requirements into scalable data models, pipelines, semantic layers, and dashboards. - Participate in developing the technical vision for your team and contribute to the long-term roadmap. - Drive data quality, governance, documentation, lineage, and metric definitions while reducing redundancy. - Set and enforce engineering and analytics best practices, including coding standards, version control, peer review, CI/CD, and automated testing. - Escalate and resolve complex technical and data issues, removing delivery blockers. - Monitor status closely, identify and predict risks, and provide meaningful and actionable insights on progress. - Manage project forecast and spending efficiently. Qualifications Required: - 8+ years of experience in data engineering/BI/analytics with 3+ years directly managing teams. Experience with ML & Data Science is a plus. - Bachelor's degree in Computer Science/Applications, Engineering, Information Technology/Systems, or equivalent field. A Master's degree is advantageous. - Proven track record of delivering scalable data platforms and BI solutions in the cloud, preferably with Azure. - Expertise in SQL, ELT/ETL patterns, dimensional & semantic modeling, Snowflake, Databricks, Data Factory, and Oracle. - Working knowledge of Python, Spark, Scala, and streaming technologies is highly beneficial. - Strong BI development skills with Power BI and/or MicroStrategy, and experience in performance tuning. - Demonstrated governance abilities including data quality frameworks, metadata, and metric standardization. - Solid understanding of software engineering practices such as testing, code review, automation, and DevOps. - Excellent stakeholder management skills and the ability to translate between business and technical contexts. - Proven talent development and team-building capabilities with clear communication and executive presentation skills. About Us: Williams-Sonoma India Pvt. Ltd., a sourcing office established in 2013 and based in Gurugram, India, is part of Williams-Sonoma Inc., a specialty retailer of high-quality kitchen and home products in the United States. As one of the largest e-commerce retailers in the US with renowned brands in home furnishings, the company operates globally through retail stores, catalogs, and online platforms. The India office sources premium products across various home furnishing categories, recording substantial year-on-year growth and maintaining a dynamic team focused on success and talent development.,

Role Overview: As a software developer at VARITE INDIA PRIVATE LIMITED, you will be responsible for the development and maintenance of the clients" next-generation fraud screening platform for real-time fraud detection and prevention. Your role will involve collaborating with the architecture team to ensure industrial and departmental best practices are being followed. Additionally, you will act as a focal point between the fraud analytics, reporting, and data governance teams. Being a productive member of the development team, you will share core tasks as a member of an Agile squad, contributing to the active development and maintenance of applications. This role will provide you with exposure to modern software engineering tools and best practices, as well as insights into how a large investment bank like Brokerage detects and prevents fraud. Key Responsibilities: - Develop and maintain the clients" next-generation fraud screening platform for real-time fraud detection and prevention - Collaborate with the architecture team to ensure best practices are followed - Act as a focal point between fraud analytics, reporting, and data governance teams - Share core tasks as a member of an Agile squad - Contribute to the active development and maintenance of applications - Collaborate with the wider team and across the firm - Be involved in the full development lifecycle Qualifications: - 5-10 years of experience Required Skills: - Commercial experience in core Java programming with strong proficiency - Experience working with a functional programming language - Experience with Scala programming or willingness to become an expert in it - Fundamental knowledge of Microservices - Strong experience with distributed caching and relational databases, preferably Sybase, Oracle, MSSQL - Exposure to middleware such as MQ, Kafka - Experience working in a Linux environment - Strong analytical and problem-solving skills - Strong oral and written communication skills - Excellent interpersonal skills and a professional approach - Ability to work effectively in a global and dynamic team - Understanding of distributed system design and infrastructure Desired Skills: - Experience in the full software development life cycle - Experience working in an agile team using Agile and DevOps practices & tools - Experience working with Continuous Integration systems - Experience with cloud-ready development, Docker containers - Experience with Confluent Kafka and Redis - Experience with automation and scripting languages, with Python preferred - Experience in Data Modeling Apply now if you are interested in this opportunity and meet the qualifications mentioned above. If not, please consider referring this job to someone in your network who might be a good fit. VARITE offers a Candidate Referral program, where you can earn a referral bonus based on the experience of the referred candidate completing a three-month assignment with VARITE.,

As a Data Engineer at Aptiv, you will play a crucial role in designing, developing, and implementing a cost-effective, scalable, reusable, and secure Ingestion framework. Your responsibilities include working closely with business leaders, stakeholders, and source system SMEs to understand and define business needs, translate them into technical specifications, and ingest data into Google Cloud platform, specifically BigQuery. Additionally, you will be involved in designing and implementing processes for data ingestion, transformation, storage, analysis, modeling, reporting, monitoring, availability, governance, and security of high volumes of structured and unstructured data. **Key Responsibilities:** - Pipeline Design & Implementation: Develop and deploy high-throughput data pipelines using the latest GCP technologies. - Subject Matter Expertise: Serve as a specialist in data engineering and Google Cloud Platform (GCP) data technologies. - Client Communication: Engage with clients, understand their requirements, and translate them into technical data solutions. - Technical Translation: Analyze business requirements, convert them into technical specifications, create source-to-target mappings, enhance ingestion frameworks, and transform data based on business rules. - Data Cataloging: Develop capabilities to support enterprise-wide data cataloging. - Security & Privacy: Design data solutions focusing on security and privacy. - Agile & DataOps: Utilize Agile and DataOps methodologies in project delivery. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Data & Analytics, or similar relevant subjects. - 4+ years of hands-on IT experience in a similar role. - Proven expertise in SQL, including subqueries, aggregations, functions, triggers, indexes, database optimization, and relational data-based models. - Deep experience with Google Data Products such as BigQuery, Dataproc, Dataplex, Looker, Data Catalog, Dataflow, and more. - Experience in Qlik Replicate, Spark (Scala/Python/Java), and Kafka. - Excellent written and verbal communication skills to convey technical solutions to business teams. - Knowledge of statistical methods, data modeling, and industry standards in the Data and Analytics space. - Ability to work effectively with globally distributed teams. - Proficiency in designing and creating Tableau/Qlik/Power BI dashboards, Alteryx, and Informatica Data Quality. Furthermore, Aptiv provides an inclusive work environment where individuals can grow and develop, irrespective of gender, ethnicity, or beliefs. Safety is a core value at Aptiv, aiming for a world with Zero fatalities, Zero injuries, and Zero accidents. The company ensures resources and support for your family, physical, and mental health with a competitive health insurance package. **Benefits:** - Personal holidays - Healthcare - Pension - Tax saver scheme - Free Onsite Breakfast - Discounted Corporate Gym Membership In addition to the above benefits, you will have the opportunity for professional growth and development in a multicultural environment, access to internal and external training, coaching, certifications, recognition for innovation and excellence, and convenient transportation options at Grand Canal Dock. If you are passionate about data engineering, Google Cloud Platform, and making a positive impact in the mobility industry, we invite you to join Aptiv's IT Data Analytics team and contribute to our mission of creating a safer, greener, and more connected world.,

As a Tableau Data Visualization Lead, you will be responsible for designing, developing, and maintaining interactive dashboards and visual analytics solutions that drive business insights and decision-making. **Job Responsibilities:** - Understanding and performing analysis of source systems data. - Estimation and delivery of adhoc and new Tableau MIS. - Designing and developing advanced & visually compelling Tableau dashboards and visualizations tailored to business needs in the Lending domain. Delivering in data visualization best practices, Tableau BI functionalities, and data storytelling. - Collaborating with business stakeholders to gather requirements and translate them into effective data visualizations. - Optimizing Tableau workbooks for performance and scalability. - Integrating and processing large datasets using Databricks (Spark-based platform). - Building and maintaining data transformation notebooks in Databricks to support reporting and analytics. - Ensuring data quality, consistency, and governance across all visualizations. - Working closely with data engineers, analysts, and business teams to deliver end-to-end BI solutions. - Providing technical leadership and mentorship to junior team members. - Staying updated on industry trends, optimizing performance, and ensuring the usability and scalability of Tableau solutions. - Proactively monitoring, data reconciliation, testing, proper documentation, and troubleshooting of MIS issues. - Ensuring developments follow standard coding patterns and are fully documented for audit submissions. - Ensuring compliance with data governance and data security/masking standards for data delivery. **Competencies for the job:** - Proven experience with Advanced SQL and data transformation for Visualization purposes. - Experience in SQL Query Development (T-SQL or Spark SQL). - 6 to 10 years of experience in data visualization and BI development. - Expert-level proficiency in Tableau including calculated fields, parameters, LOD expressions, Dashboard actions, etc. - 1 to 2 years of hands-on experience in Databricks including notebooks, Delta Lake, Spark SQL, and Python/Scala. - Strong SQL skills and experience working with relational databases. - Experience in the Lending domain with an understanding of loan lifecycle, credit risk, collections, and regulatory reporting. - Familiarity with data modeling, data warehousing concepts, and performance tuning. - Excellent communication and stakeholder management skills. - Experience in advance analytics data modeling and visualization scenarios. **Desired Experience:** - Bachelors or Masters degree in Computer Science, Information Systems, or related field. - Tableau certification is a plus. - Experience with cloud platforms (Azure, AWS, or GCP) is desirable. - Knowledge of Agile methodologies and tools like JIRA. - 5+ years of hands-on experience in Tableau Data Visualization and Data Modeling. - Excellent communication skills in written and verbal English. - Knowledge of core functions of a large NBFC/Bank including Sales, Credit, Collections, Finance, and Accounts.,

As a potential candidate for this position, you should possess strong skills in Scala with a focus on functional programming. Your knowledge should also extend to data structures, multithreading, memory management, monad, functors, applicative, and the Cats library. It is essential to have experience with Scala Build Tool and Linux, as well as proficiency in Core Java and scripting with a solid programming background. Additionally, a strong understanding of SQL and databases is necessary. Key Responsibilities: - Demonstrate good analytical, debugging, and design skills - Interface with senior management and stakeholders in EMEA and other regions - Work in an AGILE development methodology - Be a self-starter with excellent communication and interpersonal abilities Qualifications Required: - 5+ years of experience - Strong skills in Scala with a focus on functional programming - Experience with Scala Build Tool and Linux - Proficiency in Core Java and scripting - Strong understanding of SQL and databases - Knowledge of data structures, multithreading, memory management, monad, functors, applicative, and the Cats library - Exposure to Jenkins is desirable - Work experience in global markets equities domain (preferably low latency) is a plus - Knowledge of cloud and containerization, including Kubernetes/Openshift, is advantageous - Candidates with Java expertise who are willing to learn Scala will also be considered If Scala profiles are challenging to find, candidates with Java expertise who are willing to learn Scala will also be considered. Functional programming experience would be beneficial. This is an immediate requirement for candidates with 5+ years of experience who are open to working on test automation and BAU NPT remediation. If you meet these qualifications and are ready to take on this opportunity, we look forward to reviewing your application.,

As a Vice President, Big Data Scala Engineer, you will be responsible for leading the design, development, and implementation of next-generation big data platforms and applications. Your technical expertise in Scala, Spark, and other big data technologies will be crucial in driving innovation, mentoring engineers, and collaborating with cross-functional teams. You will play a key role in translating business requirements into technical architectures and leading their execution. **Key Responsibilities:** - **Technical Leadership:** - Lead the architecture, design, and development of high-performance, scalable, and reliable big data processing systems using Scala and Apache Spark. - Drive technical vision and strategy for big data initiatives, ensuring alignment with overall company goals and industry best practices. - Evaluate and recommend new technologies and tools to enhance big data capabilities and maintain a competitive edge. - **Engineering & Development:** - Design, develop, and optimize data pipelines for ingestion, transformation, and storage of massive datasets from various sources. - Implement robust and efficient data processing jobs using Scala and Spark (batch and streaming). - Ensure data quality, integrity, and security across all big data platforms. - **Team Leadership & Mentorship:** - Mentor and guide a team of talented big data engineers, fostering a culture of technical excellence, continuous learning, and collaboration. - Conduct code reviews, provide constructive feedback, and contribute to the professional growth of team members. - Participate in the recruitment and hiring of top engineering talent. - **Collaboration & Stakeholder Management:** - Partner with product managers, data scientists, and other engineering teams to understand business requirements and translate them into technical solutions. - Communicate complex technical concepts and solutions effectively to both technical and non-technical stakeholders. - Work closely with DevOps and SRE teams to ensure operational excellence, monitoring, and troubleshooting of big data systems. - **Strategy & Innovation:** - Contribute to the strategic roadmap for big data engineering, identifying opportunities for innovation and improvement. - Stay abreast of emerging trends and technologies in the big data ecosystem and incorporate them into our platform where appropriate. **Qualifications:** - **Education:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - **Experience:** - 12+ years of progressive experience in software development, with at least 5+ years focusing on big data technologies. - 3+ years of experience in a leadership or senior architectural role. - Extensive hands-on experience with Scala for big data processing. - Demonstrated expertise with Apache Spark (Spark Core, Spark SQL, Spark Streaming). - Strong experience with distributed systems and big data ecosystems. - Proficiency with cloud platforms and their big data services. - Experience with containerization technologies and CI/CD pipelines. - Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling. - Familiarity with functional programming paradigms in Scala. **Skills:** - Exceptional problem-solving and analytical skills. - Strong leadership, communication, and interpersonal skills. - Ability to work independently and collaboratively in a fast-paced, dynamic environment. - Proactive and results-oriented with a strong sense of ownership. **Preferred Qualifications:** - Experience with real-time data processing and stream analytics. - Knowledge of machine learning frameworks and their application in big data. - Contributions to open-source big data projects. - Experience in the financial services industry. If you are a passionate and experienced Big Data leader looking to make a significant impact, we encourage you to apply! Please note that the company's additional details were not provided in the job description.,

As a Java Tech Lead at BMC, you will play a vital role in project design to ensure scalability, reliability, and performance are met. Your responsibilities will include designing and developing new features, maintaining existing features, troubleshooting complex technical problems, implementing methodologies, processes & tools, initiating projects for team improvement, and on-boarding and mentoring new employees. You will be a part of a global and versatile team of professionals where your innovative ideas are highly valued. Key Responsibilities: - Design and develop new features using Java - Maintain existing features by adding improvements and fixing defects in complex areas - Troubleshoot complex technical problems in development and production - Implement methodologies, processes & tools - Initiate projects and ideas to improve the team's results - On-board and mentor new employees Qualifications Required: - 10+ years of experience in Java Backend development - Experience as a Backend Tech Lead with Scala knowledge - Proficiency in Spring, Swagger, and REST API - Familiarity with Spring Boot, Docker, and Kubernetes - Passion for problem-solving and technology - Strong team player with good communication skills in English Nice to have skills that the team can help you develop: - Public Cloud platforms like AWS, Azure, GCP - Programming languages such as Python, Node.js, C/C++ - Knowledge of Automation Frameworks like Robot Framework At BMC, you will be part of a culture that values its people and encourages diversity. You will have the opportunity to work with brilliant minds from across the globe in a supportive environment that values your authentic self. If you are excited about BMC and this team, even if you're unsure about meeting all the qualifications, we still encourage you to apply. We believe in attracting talents from diverse backgrounds to bring the best ideas together. Please note that the salary mentioned is just one component of BMC's comprehensive employee compensation package, which may include a variable plan and country-specific benefits. BMC is committed to fair and transparent compensation practices to ensure all employees are paid fairly and equitably. If you have taken a break in your career and are looking to re-enter the workforce, BMC welcomes candidates who have had a career break. Visit [BMC Returnship Program](https://bmcrecruit.avature.net/returnship) to learn more about the program and how to apply. As a Java Tech Lead at BMC, you will play a vital role in project design to ensure scalability, reliability, and performance are met. Your responsibilities will include designing and developing new features, maintaining existing features, troubleshooting complex technical problems, implementing methodologies, processes & tools, initiating projects for team improvement, and on-boarding and mentoring new employees. You will be a part of a global and versatile team of professionals where your innovative ideas are highly valued. Key Responsibilities: - Design and develop new features using Java - Maintain existing features by adding improvements and fixing defects in complex areas - Troubleshoot complex technical problems in development and production - Implement methodologies, processes & tools - Initiate projects and ideas to improve the team's results - On-board and mentor new employees Qualifications Required: - 10+ years of experience in Java Backend development - Experience as a Backend Tech Lead with Scala knowledge - Proficiency in Spring, Swagger, and REST API - Familiarity with Spring Boot, Docker, and Kubernetes - Passion for problem-solving and technology - Strong team player with good communication skills in English Nice to have skills that the team can help you develop: - Public Cloud platforms like AWS, Azure, GCP - Programming languages such as Python, Node.js, C/C++ - Knowledge of Automation Frameworks like Robot Framework At BMC, you will be part of a culture that values its people and encourages diversity. You will have the opportunity to work with brilliant minds from across the globe in a supportive environment that values your authentic self. If you are excited about BMC and this team, even if you're unsure about meeting all the qualifications, we still encourage you to apply. We believe in attracting talents from diverse backgrounds to bring the best ideas together. Please note that the salary mentioned is just one component of BMC's comprehensive employee compensation package, which may include a variable plan and country-specific benefits. BMC is committed to fair and transparent compensation practices to ensure all employees are paid fairly and equitably. If you have taken a break in your career and are looking to re-enter the workforce, BMC welcomes candidates who have had a career break. Visit [BMC Returnship Program](https://bmcrecruit.avature.net/returnship) to learn more about the program and how to apply.

Role Overview: The role involves supporting process delivery by overseeing daily performance of the Production Specialists, resolving technical escalations, and enhancing technical capability within the team. Key Responsibilities: - Oversee and support process by reviewing daily transactions on performance parameters - Review performance dashboard and scores for the team - Support team in improving performance parameters by providing technical support and process guidance - Record, track, and document all queries received, problem-solving steps taken, and total successful and unsuccessful resolutions - Ensure standard processes and procedures are followed to resolve all client queries - Resolve client queries as per the defined SLAs - Develop understanding of process/product for team members to facilitate better client interaction and troubleshooting - Document and analyze call logs to identify trends and prevent future problems - Identify red flags and escalate serious client issues to Team leader if untimely resolution - Ensure all product information and disclosures are provided to clients - Handle technical escalations through effective diagnosis and troubleshooting - Manage and resolve technical roadblocks/escalations as per SLA and quality requirements - Timely escalate unresolved issues to TA & SES - Provide product support and resolution to clients in a user-friendly manner - Offer alternative solutions to retain customers and clients - Mentor and guide Production Specialists on improving technical knowledge - Conduct trainings within products for production specialists - Undertake product trainings to stay current with features, changes, and updates - Identify common problems, recommend resolutions, and update job knowledge through self-learning opportunities Qualification Required: - Mandatory Skills: Scala programming - Experience: 5-8 Years Additional Company Details: Wipro Limited is a leading technology services and consulting company focused on building innovative solutions to address clients" most complex digital transformation needs. With over 230,000 employees and business partners across 65 countries, Wipro helps clients realize their boldest ambitions and build future-ready, sustainable businesses. The company is committed to reinventing itself and its industry, empowering employees to design their own reinvention and constantly evolve. Applications from people with disabilities are explicitly welcome.,