3 Data Engineer Jobs nearby Vasai

Greetings!!! From Aspire ERP Hiring Partner for MNC LIFE INSURANCE CO.LTD  COMPANY NAME : MNC LIFE INSURANCE DESIGNATION : RELATIONSHIP MANAGER Channel : Banccassurance   EXP : Required  2+ Yrs Exp  in sales / Banking Sales   For Apply Call on 9049228518 Email on aspirebfsijobs1@gmail.com JOB PROFILE:   HANDLING WALKIN CUSTOMERS OF THE BANK Responsible in handling Bank Revenue Generation for Insurance vertical whole channel relationship management between hdfc LIFE INSURANCE AND hdfc bank. Building Relationship with Bank Employees and utilising data of HNI AND POTENTIAL Customers of the bank and generating leads from the walk-in customers. Drive the Life insurance business from company data base Loan customers, Pitching to Walking Customers. GENERATE THE BUSINESS FROM LOAN CUSTIMERS(I.E CREDIT LIFE INSURANCE RELATIONSHIP MANAGER  will help the bank employees for achieving business targets for the entire Bank  Regards Vaishnavi 9049228518 Aspirebfsijobs1@gmail.com

Making Field Visits on daily basis for Sales of AC Drives, Control Panel & Automation Solution Accept Sales Target & work towards achievement of Organizational Goals Take care of Existing Customer Business Carry out focused Sales & Marketing Activities to increase Share of Wallet ( SOW ) from Existing Customer Accounts Make Cold Calling to identify New Customer Identify new Customers , Validate and Create Rapport Generate new leads / inquiries from identified customers Make Necessary follow-up with potential customers for converting Leads to Sales Review market scenario, doing competition analysis and submit insights to management Do joint visits with Sr./directors for betterment of Business Take Responsibilities of Payment O/S ,in case of overdue OR non-receipt amount  Expected to Continue Learning : Attending various trainings  Reports expected: Weekly Activity Plan Maintaining leads related Data and provide to Senior Sales colleague / Management Other Report Submission if any ; as directed by HR / Senior Colleague  

We are hiring SAP Manager for Pharmaceutical Industry in Mumbai. Location : Mumbai Designation : SAP Manager Key Responsibilities: SAP Implementation & Management Lead and manage SAP projects (new implementations, upgrades, rollouts, and support). Ensure smooth functioning of SAP modules like MM, PP, QM, SD, FI/CO, FI, PM relevant to pharma operations. Collaborate with business stakeholders to understand requirements and translate them into SAP solutions. System Support & Troubleshooting Oversee daily operations of SAP system and resolve user issues. Coordinate with external vendors/consultants for technical support. Ensure minimal downtime and smooth system performance. Compliance & Data Integrity Ensure SAP system complies with 21 CFR Part 11, GxP, FDA, and other pharma regulations. Maintain audit trails, data security, and validation documentation. Coordinate with QA/Compliance teams during inspections and audits. Process Improvement & Optimization Identify opportunities to improve efficiency in manufacturing, quality control, inventory management, and supply chain using SAP. Develop and deliver training to end-users. Monitor KPIs and generate MIS reports for management decision-making. Team & Vendor Management Lead and mentor SAP functional/technical team members. Manage relationships with SAP partners, consultants, and technology vendors. Plan budgets for SAP projects and ensure cost-effectiveness. Key Skills & Competencies: Experience in GMP, GxP compliance, and CSV (Computer System Validation). Project management skills (SAP implementations / rollouts). Strong analytical, problem-solving, and communication skills. Ability to collaborate with cross-functional teams (Production, QA, QC, Supply Chain, Finance, Sales). Qualification & Experience: Bachelors / Masters in Information Technology / Computer Science / Engineering / MBA (IT). Minimum 8 to 12 years of SAP experience, with at least 5 to 6 years in a managerial role in pharma/chemical/healthcare industry. Hands-on experience in SAP S/MM/SD/FI Exposure to Regulatory Audits (USFDA, MHRA, EMA, etc.) is highly desirable. Interested candidate can apply here or send cv to prarthanaw@datrax.in or Whatspp on 93071 76557.

Duties/ Roles & Responsibilities Lead the design, optimization, and scaling of data pipelines using Data bricks, Spark, and advanced SQL. Drive architectural decisions, enforce best practices, and mentor teams on distributed data processing and lake house patterns. Collaborate with cross-functional partners to deliver high-quality, reliable data solutions that support analytics and business objectives.

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

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.  

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

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

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

Duties/ Roles & Responsibilities Lead the design, optimization, and scaling of data pipelines using Data bricks, Spark, and advanced SQL. Drive architectural decisions, enforce best practices, and mentor teams on distributed data processing and lake house patterns. Collaborate with cross-functional partners to deliver high-quality, reliable data solutions that support analytics and business objectives.

Exp: 2+Years loc:Turbhe np:Immediate to 30 Days  SQL experience  Python coding required Azure or other cloud environment Alteryx experience or other data management tool Tableau experience or other business intelligence tool  Databricks experience or other big data platform   ankitapisal@peshr.com/9004076848

AWS Data Engineer  Requirements  3+ year of experience working on AWS Cloud platform with strong experience in Python Knowledge on AWS services such as - AWS S3, Glue, API Gateway, Crawler, Athena, Cloudwatch, Lambda, EC2, Route53, IAM, Aurora/Dynamic DB, Redshift is an advantage Knowledge/experience on CI/CD deployment tools (CloudFormation, Terraform, Jenkins) Experience/knowledge with streaming technologies is must preferably Kafka Should have knowledge/experience with SQL Experience developing REST API Good analytical skills Knowledge or experience developing microservices Familiar working on Linux platforms Have good understanding on pros and cons and the cost impact of the AWS services being leveraged Good Communication skills

Role Overview: You will be responsible for implementing efficient and maintainable code using best practices and coding standards. As part of the role, you will design, develop, test, and deploy high-performance and scalable data solutions using Python. Collaboration with cross-functional teams to understand business requirements and translate them into technical specifications will be a key aspect of your responsibilities. Key Responsibilities: - Implement efficient and maintainable code using best practices and coding standards. - Utilize your experience in SQL to design, optimize, and maintain relational databases. - Write complex SQL queries for data retrieval, manipulation, and analysis. - Perform database performance tuning and optimization. - Work with Databricks platform for big data processing and analytics. - Develop and maintain ETL processes using Databricks notebooks. - Implement and optimize data pipelines for data transformation and integration. Qualifications Required: - Proficiency in Python for designing and developing high-performance data solutions. - Strong experience in SQL for database design, optimization, and maintenance. - Familiarity with Databricks platform for big data processing and analytics. - Experience in ETL processes and data pipeline optimization would be beneficial. (Note: No additional details about the company were mentioned in the provided job description.),

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.),

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 Data Engineer at the company, you will be responsible for designing, implementing, and maintaining the data infrastructure and pipelines necessary for AI/ML model training and deployment. Working closely with data scientists and engineers, you will ensure that data is clean, accessible, and efficiently processed. Key Responsibilities: - Build and maintain scalable data pipelines for data collection, processing, and analysis. - Ensure data quality and consistency for training and testing AI models. - Collaborate with data scientists and AI engineers to provide the required data for model development. - Optimize data storage and retrieval to support AI-driven applications. - Implement data governance practices to ensure compliance and security. Qualifications Required: - 6-8 years of experience in data engineering, preferably in financial services. - Strong proficiency in SQL, Python, and big data technologies (e.g., Hadoop, Spark). - Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions. - Familiarity with ETL processes and tools, as well as knowledge of data governance, security, and compliance best practices. At GlobalLogic, you will experience a culture of caring where people come first. You will be part of an inclusive culture of acceptance and belonging, building meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. The company is committed to your continuous learning and development, offering opportunities to try new things, sharpen your skills, and advance your career. You will work on projects that matter, engage your curiosity and problem-solving skills, and contribute to cutting-edge solutions shaping the world today. GlobalLogic supports balance and flexibility in work and life, providing various career areas, roles, and work arrangements. Joining GlobalLogic means being part of a high-trust organization where integrity is key, and trust is fundamental to relationships with employees and clients.,

As a Data Engineer II at Ethoca, a Mastercard Company, located in Pune, India, you will play a crucial role in driving data enablement and exploring big data solutions within the technology landscape. Your expertise in cutting-edge software development, full stack development, cloud technologies, and data lake experience will be key in working with massive data volumes. Here's an overview of your role: Key Responsibilities: - Design, develop, and optimize batch and real-time data pipelines using Snowflake, Snowpark, Python, and PySpark. - Build data transformation workflows using dbt, focusing on Test-Driven Development (TDD) and modular design. - Implement and manage CI/CD pipelines using GitLab and Jenkins for automated testing, deployment, and monitoring of data workflows. - Deploy and manage Snowflake objects using Schema Change to ensure controlled, auditable, and repeatable releases across environments. - Administer and optimize the Snowflake platform, including performance tuning, access management, cost control, and platform scalability. - Drive DataOps practices by integrating testing, monitoring, versioning, and collaboration throughout the data pipeline lifecycle. - Develop scalable and reusable data models for business analytics and dashboarding in Power BI. - Support real-time data streaming pipelines using technologies like Kafka and Spark Structured Streaming. - Establish data observability practices to monitor data quality, freshness, lineage, and anomaly detection. - Plan and execute deployments, migrations, and upgrades across data platforms and pipelines with minimal service impacts. - Collaborate with stakeholders to understand data requirements and deliver reliable data solutions. - Document pipeline architecture, processes, and standards to ensure consistency and transparency within the team. - Utilize problem-solving and analytical skills to troubleshoot complex data and system issues. - Communicate effectively with technical and non-technical teams. Required Qualifications: - Bachelor's degree in Computer Science/Engineering or related field. - 4-6 years of professional experience in software development/data engineering. - Deep hands-on experience with Snowflake/Data Bricks, Snowpark, Python, and PySpark. - Familiarity with Schema Change, dbt, Java JDK 8, Spring & Springboot framework. - Proficiency in CI/CD tooling (GitLab, Jenkins), cloud-based databases (AWS, Azure, GCP), Power BI, and SQL development. - Experience in real-time data processing, building data observability tools, and executing deployments with minimal disruption. - Strong communication, collaboration, and analytical skills. By joining Ethoca, a Mastercard Company, you will be part of a team committed to building a sustainable world and unlocking priceless possibilities for all. Your contributions as a Data Engineer II will be instrumental in shaping the future of the high growth fintech marketplace.,

As a Big Data Engineer, you will play a crucial role in developing and managing the Big Data solutions for our company. Your responsibilities will include designing and implementing Big Data tools and frameworks, implementing ELT processes, collaborating with development teams, building cloud platforms, and maintaining the production system. Key Responsibilities: - Meet with managers to determine the companys Big Data needs. - Develop Big Data solutions on AWS using tools such as Apache Spark, Databricks, Delta Tables, EMR, Athena, Glue, and Hadoop. - Load disparate data sets and conduct pre-processing services using Athena, Glue, Spark, etc. - Collaborate with software research and development teams. - Build cloud platforms for the development of company applications. - Maintain production systems. Qualifications Required: - 5+ years of experience as a Big Data Engineer. - Proficiency in Python & PySpark. - In-depth knowledge of Hadoop, Apache Spark, Databricks, Delta Tables, and AWS data analytics services. - Extensive experience with Delta Tables, JSON, Parquet file format. - Experience with AWS data analytics services like Athena, Glue, Redshift, EMR. - Familiarity with Data warehousing will be a plus. - Knowledge of NoSQL and RDBMS databases. - Good communication skills. - Ability to solve complex data processing and transformation related problems.,

As a Software Data Engineer II at GoDaddy, you will be joining a dynamic team to assist in developing the next-generation Data Integration Platform. This role offers an exciting opportunity to work with modern microservices-based architecture on AWS while also supporting legacy Microsoft-based infrastructure components. **Key Responsibilities:** - Design, build, and maintain reliable and efficient data pipelines. - Collaborate with senior engineers and stakeholders to develop data models supporting key business functions. - Utilize AWS cloud databases and Microsoft SQL Server for data operations. - Integrate diverse datasets using REST APIs and other ingestion tools. - Write clean, maintainable code in languages like Python and C#. - Participate in code reviews, testing, and quality assurance processes to ensure data accuracy and performance. - Troubleshoot data issues and contribute to system reliability and improvement efforts. **Qualifications Required:** - 2+ years of experience as a Data Engineer, Software Engineer, or similar role with strong debugging and problem-solving skills. - Proficiency in programming languages such as C# or Python, along with hands-on experience in SQL and data modeling. - Familiarity with AWS data services (e.g., RDS, S3, Glue, Redshift) and experience with on-premises and cloud database systems. - Experience in integrating data through REST APIs and exposure to big data tools and frameworks. - Understanding of data visualization and reporting tools like Power BI or Tableau. As part of the team, you will enjoy a range of total rewards including paid time off, retirement savings, equity grants, health benefits, and more. GoDaddy values diversity and offers Employee Resource Groups to support a variety of cultures and backgrounds. Whether you have certifications in Microsoft or AWS technologies or an interest in learning and working across both legacy and modern stacks, you are encouraged to apply. GoDaddy is committed to being an equal opportunity employer, providing a supportive environment for all employees. If you have any questions during the application process, feel free to contact the recruiting team at myrecruiter@godaddy.com.,

You will be responsible for: - Designing, developing, and maintaining data pipelines and ETL/ELT workflows using GCP-native tools and services. - Building and optimizing data warehouses using Snowflake. - Writing complex and efficient SQL queries for data transformation, analysis, and reporting. - Collaborating with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions. - Implementing data governance, security, and monitoring best practices across GCP projects. - Tuning queries and optimizing performance of large-scale datasets. - Automating workflows using Cloud Composer (Airflow) or similar orchestration tools. Your Skills & Qualifications should include: - 3+ years of experience in a data engineering or data platform role. - Strong hands-on experience with Snowflake data warehousing. - Expert-level skills in SQL, able to write optimized, scalable, and complex queries. - Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse. - Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion. - Experience in Python or similar scripting language for data engineering tasks. - Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.,