5,597 Data Structures Jobs in Tiruppur

Position: Data Entry Operator (DEO) Eligibility: Graduate (mandatory) Freshers & experienced both can apply Basic computer knowledge Supervisor: Basic hardware understanding  Salary: As per respective State Minimum Wages Freshers: Slightly above minimum wage Experienced: 2530% hike on current CTC Training will be provided by the Business Team State wise minimum wages structure below  Work Location: Rupaidiha Bahraich, Uttar Pradesh Roles & Responsibilities: DEO: Data entry and system updates Daily operations support Coordination with onsite team Maintaining accuracy in documentation  Additional Information: Immediate joiners preferred Internet-ready; online interviews possible

Job Description We are seeking an experienced Data Modeler with 4 to 9 years of experience to join our team.The ideal candidate will be responsible for designing implementing and supporting data structures that ensure data integrity and facilitate accurate timely information retrieval. The Data Modeler will work closely with analysts architects and database developers to design datasets that align with business requirements and technical constraints. Responsibilities Design and implement data models to support business requirements ensuring consistency and integration across various data sources. Develop and maintain conceptual logical and physical data models optimizing them for performance scalability and ease of use. Collaborate with stakeholders to identify data requirements and translate them into technical specifications. Ensure data models align with the organizations data architecture and data governance standards. Design and implement data integration processes using ETL extract transform load tools and technologies ensuring data quality and completeness. Work with database administrators to ensure database designs support business needs and are optimized for performance. Maintain and update data dictionaries metadata repositories and data modeling documentation. Troubleshoot and resolve issues related to data quality integration and model design. Provide guidance and mentorship to junior team members as needed. Stay current with industry best practices and emerging trends in data modeling and data architecture. Requirements 2 to 5 years of experience in developing data pipelines and solutions using Azure Data Factory ADF Azure Synapse Analytics and Databricks Strong proficiency in SQL TSQL and familiarity with Azure SQL Database andor Azure Synapse Analytics SQL pools Experience with ADF pipeline orchestration and data ingestion from various sources such as databases APIs and file systems Knowledge of Spark and Databricks for data processing transformations and data analytics Familiarity with data modeling and schema design in Azure Synapse and Azure SQL Databases Understanding of data integration data warehousing and ETL concepts Proficiency in Azure cloud services and infrastructure particularly related to data processing and analytics Strong problemsolving and troubleshooting skills Qualifications Bachelors degree in Computer Science Information Technology or a related field 4 to 9 years of experience in data modeling data architecture or related areas Proficiency in data modeling tools such as ERStudio Erwin or similar Strong understanding of relational databases data warehousing concepts and SQL Experience with big data technologies and platforms Hadoop Spark NoSQL databases is a plus Strong analytical problemsolving and communication skills Ability to work collaboratively in a team environment and with crossfunctional stakeholders Experience in AgileScrum development environments is advantageous

Position: Data Entry Operator (DEO) Eligibility: Graduate (mandatory) Freshers & experienced both can apply Basic computer knowledge Supervisor: Basic hardware understanding  Salary: As per respective State Minimum Wages Freshers: Slightly above minimum wage Experienced: 2530% hike on current CTC Training will be provided by the Business Team State wise minimum wages structure below  Work Location: Attari Amritsar, Punjab Roles & Responsibilities: DEO: Data entry and system updates Daily operations support Coordination with onsite team Maintaining accuracy in documentation  Additional Information: Immediate joiners preferred Internet-ready; online interviews possible

About the Role We are seeking a highly skilled Senior Data Engineer with deep expertise in Snowflake and strong proficiency in SQL to join our Data Insights Engineering team The ideal candidate should have handson experience designing and building scalable data pipelines optimizing data warehouses and enabling advanced analytics This role requires strong data engineering fundamentals experience in Pythonbased ETLELT development and working knowledge of BI tools like Tableau to support business stakeholders Key Responsibilities Design develop and maintain data pipelines and workflows on Snowflake Write highly optimized SQL queries transformations and stored procedures for complex data engineering use cases Architect and implement data models schemas and warehouse structures that support analytics and reporting Integrate data from multiple sources databases APIs files streaming into Snowflake using PythonETL frameworks Optimize Snowflake performance warehouses caching clustering partitioning cost control Partner with analysts and business teams to deliver clean reliable datasets for Tableau and other reporting tools Implement data quality checks monitoring and ing for critical pipelines Collaborate with crossfunctional teams Data Scientists Analysts Product Engineering Contribute to best practices in data governance documentation and security Required Skills Experience 7 years of handson Data Engineering experience Strong expertise in Snowflake warehouses roles RBAC tasks streams procedures Snowpark a plus Expertlevel SQL query optimization advanced analytics functions performance tuning Proficiency in Python for ETL ELT scripting and automation Experience with Tableau for dashboarding and data validation Solid knowledge of data modeling data warehousing concepts and ELT pipelines Strong understanding of cloud data platforms AWS preferred Familiarity with CICD Git Docker and orchestration tools Airflow dbt etc

Job Title: Senior Snowflake Data Developer Experience: 6 - 10 Years Location: Bangalore / Mumbai / Chennai / Pune Employment Type: Full-Time Job Description: We are looking for an experienced Senior Snowflake Data Developer with a strong background in data engineering, Snowflake implementation, and cloud-based data solutions. The ideal candidate will have hands-on experience with Snowflake, SQL, Python, and cloud platforms (AWS/Azure), along with excellent analytical and communication skills. Key Responsibilities: Lead and implement end-to-end Snowflake projects, including migration from traditional data warehouses or new implementations. Develop, optimize, and tune SQL and SnowSQL queries for performance and scalability. Apply data modelling principles and best practices for designing and maintaining data structures. Work extensively on AWS/Azure cloud platforms for data processing and integration. Utilize advanced Snowflake features including Data Masking, Tagging, SnowPipe, RBAC controls, Virtual Warehouse sizing, Zero Copy Clone, Data Sharing, Streams & Tasks, Time Travel, Secure Data Sharing, DMF, Iceberg Tables, Dynamic Tables, Micro Partitioning, and Query Profiler. Implement ETL/ELT integration, data ingestion, conversion, and migration workflows. Develop and maintain scripts using Python and PySpark. Collaborate with teams using Jira, Confluence, and Agile methodologies. Prepare and review technical documentation, specifications, and peer reviews. Ensure adherence to cloud best practices and organizational data standards. Good to Have: Snowflake Certification. Hands-on experience with DBT (Data Build Tool). Experience in preparing and reviewing functional and technical specification documents. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Client-facing experience with strong ownership and attention to detail. Immediate joiners will be preferred.

Job ID: ITC/G/20251029/22301 Role: GCP Data Engineer Location: Hyderabad Status: Open   Role Overview This role focuses on designing, developing, testing, and deploying data models and transformations on Google Cloud Platform, primarily using BigQuery and Data Fusion. The engineer will be responsible for building scalable data pipelines, optimizing data structures for analytics and visualization, and supporting CI/CD automation. Key Responsibilities Design and develop GCP-based data models and ETL/ELT pipelines. Build and deploy transformations in BigQuery and Data Fusion. Optimize data views and datasets for reporting and visualization use cases. Manage and maintain code repositories, artifacts, and deployment workflows. Implement CI/CD pipelines using tools like Git, Jenkins, Ansible, etc. Perform data preparation, wrangling, and quality checks. Work with relational, dimensional, and preferably Data Vault data models. Collaborate in a hybrid work environment with cross-functional teams. Required Skills Google Cloud Platform (GCP) BigQuery Data Fusion SQL / T-SQL Ansible CI/CD Tools (Git, Jenkins) Data Modeling (Relational, Dimensional; Data Vault preferred) Data Wrangling & Preparation Qualification B.Tech (Computer Science, IT, or related field preferred) Experience 6-15 years in Data Engineering / Cloud Data Platforms Salary Range 10,00,000 - 27,00,000 (based on experience and skill level)

Role Overview: At Techsophy, we believe in the transformative power of technology to uplift lives in various aspects of well-being. As a Big Data Engineer, you will be a key player in our mission to create solutions that empower individuals and organizations to thrive physically, financially, mentally, and in the cyber world. Your role goes beyond coding; it involves developing impactful solutions that enhance the quality of life for millions worldwide. Key Responsibilities: - Collaborate with the Client development team in India & US to engineer highly scalable applications on top of the Client platform - Develop platform components to ensure optimal performance on a big data environment with over 10,000 nodes and massive amounts of data - Utilize your programming expertise in Java/Scala and solid understanding of algorithms and data structures to design and debug software solutions - Stay updated with modern big data technologies such as Spark, NoSQL, Cassandra, Kafka, Map Reduce, and the Hadoop ecosystem - Provide technical leadership to a small team and demonstrate ownership in project delivery - Leverage data analytics to extract valuable insights and contribute to the continuous improvement of our solutions Qualifications Required: - Proficiency in Java/Scala programming languages - Strong grasp of algorithms and data structures - Demonstrated experience in software design, debugging, and problem-solving - Ability to adapt and learn new technologies quickly - Hands-on experience with big data technologies like Spark, NoSQL, Cassandra, Kafka, Map Reduce, and the Hadoop ecosystem - Previous experience in technical leadership roles is a plus - Familiarity with data analytics and the ability to extract insights from data - Excellent communication skills, both oral and written If you are passionate about using technology for positive change and aspire to contribute to a mission that impacts lives, we encourage you to share your thoughts on joining our visionary team. Send a 200-word note expressing your interest to [careers@techsophy.com]. Remember, at Techsophy, we are dedicated to building a better future, one dimension of well-being at a time. Role Overview: At Techsophy, we believe in the transformative power of technology to uplift lives in various aspects of well-being. As a Big Data Engineer, you will be a key player in our mission to create solutions that empower individuals and organizations to thrive physically, financially, mentally, and in the cyber world. Your role goes beyond coding; it involves developing impactful solutions that enhance the quality of life for millions worldwide. Key Responsibilities: - Collaborate with the Client development team in India & US to engineer highly scalable applications on top of the Client platform - Develop platform components to ensure optimal performance on a big data environment with over 10,000 nodes and massive amounts of data - Utilize your programming expertise in Java/Scala and solid understanding of algorithms and data structures to design and debug software solutions - Stay updated with modern big data technologies such as Spark, NoSQL, Cassandra, Kafka, Map Reduce, and the Hadoop ecosystem - Provide technical leadership to a small team and demonstrate ownership in project delivery - Leverage data analytics to extract valuable insights and contribute to the continuous improvement of our solutions Qualifications Required: - Proficiency in Java/Scala programming languages - Strong grasp of algorithms and data structures - Demonstrated experience in software design, debugging, and problem-solving - Ability to adapt and learn new technologies quickly - Hands-on experience with big data technologies like Spark, NoSQL, Cassandra, Kafka, Map Reduce, and the Hadoop ecosystem - Previous experience in technical leadership roles is a plus - Familiarity with data analytics and the ability to extract insights from data - Excellent communication skills, both oral and written If you are passionate about using technology for positive change and aspire to contribute to a mission that impacts lives, we encourage you to share your thoughts on joining our visionary team. Send a 200-word note expressing your interest to [careers@techsophy.com]. Remember, at Techsophy, we are dedicated to building a better future, one dimension of well-being at a time.

As an experienced candidate with over 5 years of experience in implementation, data management, or system integration, you should be well-versed in working with Snowflake or similar cloud data warehouse platforms. Your expertise should include architecting or collaborating on ELT technologies like DBT and data architectures. Strong SQL skills and familiarity with data transformation tools are essential for this role. Additionally, your background should cover experience with ETL processes, data validation techniques, and an understanding of HR data structures and relationships. Your analytical and problem-solving abilities should be top-notch, complemented by knowledge of programming languages like Python. Familiarity with data visualization tools, particularly Tableau, is a key requirement. Furthermore, you should have an understanding of API integration patterns and technologies, coupled with experience working with agile development methodologies.,

As a NetSuite Data Analyst for Uplers" client - a top Auto Inspection company based in the US, you will play a crucial role in leading a data cleanup and deduplication initiative within the NetSuite ERP system. Your primary responsibilities will involve conducting a thorough audit of existing NetSuite data, identifying and resolving data quality issues, and collaborating with cross-functional teams to ensure data accuracy and alignment with business requirements. Here are the key responsibilities you will undertake: - Conduct a comprehensive audit of existing NetSuite data, focusing on customer transaction records. - Identify duplicate, incomplete, outdated, or inconsistent data entries and develop strategies for remediation. - Design and implement data deduplication processes using NetSuite tools, saved searches, and scripts. - Collaborate with cross-functional teams (Finance, Sales, Operations) to validate data and ensure alignment with business requirements. - Create and maintain documentation of data standards, cleanup procedures, and deduplication logic. - Monitor and report on data quality metrics and progress throughout the project lifecycle. - Support ongoing data governance efforts by recommending improvements to data entry workflows and validation rules. - Assist in training users on best practices for maintaining clean and accurate data in NetSuite. To excel in this role, you should possess the following qualifications: - Bachelor's degree in Information Technology, Business Administration, or a related field. - Minimum of 2 years of experience as a data analyst, DBA, data architect, or a similar role. - Strong background in NetSuite data structures and processes. - Reporting and data visualization skills. - Experience in generating ad-hoc queries, optimization, and performance tuning of queries and tables. - Familiarity with data warehousing technologies, ETL tools, SQL databases, and data modeling techniques. - Strong organizational and verbal/written communication skills. - Ability to manage and prioritize multiple tasks effectively. - Commitment to adhering to schedules and deadlines. - Excellent problem-solving skills and attention to detail. - Ability to work independently and collaboratively as part of a team. - NetSuite Administrator, SuiteFoundation, and ERP Consultant certifications are considered advantageous. Uplers is dedicated to simplifying and expediting the hiring process, providing support to talents like you to find and apply for relevant onsite contractual opportunities and advance in your career. If you are prepared for a new challenge, a supportive work environment, and a chance to elevate your career, seize this opportunity by applying today. Your next career advancement awaits!,

You have an exciting opportunity to join XenonStack as a Software Trainee Data Engineer. XenonStack is a rapidly growing data and AI foundry dedicated to building Agentic Systems for AI Agents, Vision AI Platform, and Inference AI Infrastructure. As a Software Trainee Data Engineer, you will play a crucial role in developing and maintaining data systems, processing data, and supporting data management tasks. **Key Responsibilities:** - Assist in the development, testing, and deployment of data pipelines. - Collaborate with the team to design and implement efficient data architectures. - Help in transforming raw data into usable formats for data analysis. - Support the team in database management and performance tuning. - Participate in troubleshooting and optimizing data systems. - Continuously learn new technologies, best practices, and contribute to project success. **Qualifications Required:** - Bachelor's degree in computer science, Engineering, or a related field. - 0-2 years of hands-on experience with data engineering concepts or internships. - Basic knowledge of programming languages such as Python, Java, or SQL. - Understanding of database management and data structure concepts. - Enthusiastic about learning big data tools and cloud technologies. - Strong problem-solving and analytical skills. - Excellent communication and teamwork abilities. At XenonStack, you will benefit from continuous learning and growth opportunities through certification courses, skill-building sessions, and exposure to cutting-edge technologies. You will receive regular constructive feedback, performance-based incentives, and special recognition for outstanding contributions. Additionally, you will have access to comprehensive medical insurance, additional allowances for specific projects, and cab facilities for women employees. Join XenonStack's culture of cultivation and bold leadership principles, where obsession, deep work, and disruption are valued. Be part of shaping the future of AI in business processes and enterprise systems by simplifying user experiences with AI Agents and Agentic AI. Accelerate the world's transition to AI + Human Intelligence with XenonStack's vision and mission.,

Role Overview: As a Data Migration Specialist at Mercedes-Benz Research and Development India Private Limited, your primary responsibility will be to develop and implement comprehensive data migration strategies for different templates in scope for SAP transformation projects. You will lead a team of specialists, work closely with stakeholders, ensure data quality and integrity, manage migration tools, maintain documentation, resolve issues promptly, and provide regular project updates. Key Responsibilities: - Develop and implement comprehensive data migration strategies for different templates (E.g.: ECC to S4, S4 to S4) in alignment with business objectives - Lead and manage a team of data migration specialists, providing guidance and oversight throughout the migration process - Collaborate with functional and technical stakeholders to understand data requirements and ensure stakeholder needs are met - Ensure data quality, integrity, and compliance through data profiling, analysis, cleansing, validation, and reconciliation - Define and manage ETL processes using tools like SAP Data Services, LSMW, LTMC, and Syniti, exploring innovative ideas for automation - Maintain comprehensive documentation of data migration processes and provide regular project updates - Identify and resolve data migration issues promptly, collaborating with functional consultants as needed Qualification Required: - Education: B.E (any field) or M.B.A (General Administration) - Total Experience: 15 years - Technical Skills: Strong knowledge of SAP data structures, SAP ABAP, SAP Data migration tools, and proficiency in SQL - Soft Skills: Excellent leadership, communication, and problem-solving skills - Additional Tools: Experience with Syniti tools or other third-party migration tools is beneficial - Communication: Excellent verbal and written communication skills in English Additional Details: The role may involve collaboration with cross-functional teams and travel to client locations as needed. The ability to work in a fast-paced environment and adapt to changing project requirements is essential. Please note the contact details for recruitment at Mercedes-Benz Research and Development India Private Limited: MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com,

You will be responsible for providing expertise in consulting, architecting, and implementing Data Governance and Master Data Management (MDM) programs. You will have the following key responsibilities: - Consult and collaborate with clients to understand their data governance requirements and develop appropriate strategies and solutions. - Architect and implement robust Data Governance and MDM programs, encompassing various governance disciplines such as data stewardship, data taxonomies, cataloging, data quality and lineage, audit, data security, and compliance. - Utilize data modeling techniques to design and optimize data structures and ensure data integrity and consistency. - Demonstrate proficiency in MDM concepts and methodologies, leveraging tools such as Informatica MDM, Talend MDM, Reltio, or Stibo. - Apply knowledge of popular data governance tools, including Collibra and Alation, to support the implementation and management of data governance frameworks. - Stay updated with emerging trends and advancements in data governance and MDM domains to provide innovative and effective solutions. - Collaborate with cross-functional teams, including business stakeholders, data scientists, developers, and IT teams, to drive successful data governance and MDM initiatives. The successful profile for this role includes: - Proven experience in consulting, architecting, and implementing Data Governance and MDM programs. - In-depth knowledge of various governance disciplines, including data stewardship, data taxonomies, cataloging, data quality and lineage, audit, data security, and compliance. - Proficiency in data modeling techniques to design and optimize data structures. - Strong understanding of MDM concepts and methodologies. - Familiarity with popular governance tools such as Collibra and Alation. - Experience working with MDM tools such as Informatica MDM, Talend MDM, Reltio, or Stibo. - Knowledge of cloud platforms, including Azure, AWS, or GCP, is a plus. - Excellent problem-solving skills and the ability to translate complex business requirements into practical solutions. - Strong communication and interpersonal skills to effectively collaborate with stakeholders at all levels. Qualifications required for this role are: - B. E, B. Tech, Masters, Bachelors in Statistics, Data Science/ Information Systems, or a related discipline. - Advanced certification in Data Governance/ MDM which can be advantageous. If you are passionate about data governance and MDM, and enjoy working with enthusiastic over-achievers, this role at Fractal may be a great fit for you.,

Role Overview: As a member of Hitachi Solutions India Pvt Ltd, you will be responsible for developing and implementing generative AI models using deep learning techniques. You will work with a team of industry leaders in a dynamic and rewarding environment, collaborating on challenging projects across multiple industries. Your role will involve utilizing your expertise in Python, machine learning libraries, and cloud-based platforms to deliver innovative AI solutions. Additionally, you will contribute to enhancing the company's profitability and success through your problem-solving skills and proactive mindset. Key Responsibilities: - Develop and implement generative AI models, utilizing deep learning techniques such as GPT, VAE, and GANs - Utilize Python and machine learning libraries/frameworks like TensorFlow, PyTorch, or Keras - Demonstrate strong knowledge of data structures, algorithms, and software engineering principles - Work with cloud-based platforms and services such as AWS, GCP, or Azure - Apply natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face - Utilize data visualization tools/libraries such as Matplotlib, Seaborn, or Plotly - Follow software development methodologies like Agile or Scrum - Solve complex problems creatively and think critically to develop innovative AI solutions - Communicate technical concepts effectively to a diverse audience - Collaborate independently and within a team in a fast-paced, dynamic environment Qualifications: - Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field - Experience developing and implementing generative AI models with a strong understanding of deep learning techniques - Proficiency in Python and experience with machine learning libraries/frameworks - Strong knowledge of data structures, algorithms, and software engineering principles - Familiarity with cloud-based platforms and services - Experience with natural language processing (NLP) techniques and tools - Knowledge of data visualization tools/libraries - Understanding of software development methodologies - Excellent problem-solving skills and proactive mindset - Strong communication skills (Note: Additional information section omitted as it did not contain relevant details about the job role),

You are applying for the position of Big Data Solutions Architect at a company that specializes in building large scale applications on various big-data technologies. The role requires you to have extensive experience in Big Data and distributed systems, as well as the ability to design large scale distributed systems. You should have prior experience in building data platforms using Big Data stack (Kafka, Cassandra, Solr, Elastic Search) on public cloud. In addition, you need to possess excellent programming skills and at least 9 years of overall software development experience. Key Responsibilities: - Extensive experience with Big Data and distributed systems - Ability to design large scale distributed systems - Prior experience in building data platforms using Big Data stack (Kafka, Cassandra, Solr, Elastic Search) on public cloud - Excellent programming skills - Experience as a solutions architect in minimum 2 projects - Deep understanding of Algorithms, Data Structures, and Performance Optimization Techniques - Experience of working on cloud infrastructure and deployment of applications - Mentor junior developers in standards and best practices Qualifications Required: - 9+ years overall software development experience - Previous experience of solutions architect in minimum 2 projects - Excellent written and verbal interpersonal skills for coordinating across teams - Understanding of OAuth authentication and SSO - Keenness to learn and master new technologies and techniques - Excellent software development skills with very sound logic - Previous experience of working on relational databases To apply for this position, please send an email to hr@prudencesoftware.com with your CV and other relevant details.,

As an experienced trainer in coding and algorithmic thinking, you are required to be strong in Data Structures & Algorithms using C/Java. Your expertise in problem-solving on platforms like LeetCode will be essential for guiding students effectively in their coding and interview preparation. **Key Responsibilities:** - Strong proficiency in Data Structures & Algorithms using C/Java - Hands-on problem-solving experience on platforms like LeetCode - Guiding students in coding, interview prep, and algorithmic thinking **Qualifications Required:** - B.Tech/M.Tech degree,

As a part of ZS, a management consulting and technology firm focused on transforming ideas into impact by leveraging data, science, technology, and human ingenuity, you will have the opportunity to work alongside a collective of thinkers and experts who are dedicated to shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers are driven by a client-first mentality, partnering collaboratively with clients to deliver custom solutions and technology products that create value across critical areas of their business. **Role Overview:** In the Business Technology group at ZS, you will focus on delivering enterprise-wide transformation through cutting-edge technology solutions. Your role will involve collaborating with internal and client teams to implement high-quality technology solutions that address critical business problems, designing and implementing technical features, and providing guidance to team members in creating comprehensive project implementation plans. **Key Responsibilities:** - Collaborate with internal and client teams to shape and implement technology solutions - Understand and analyze business problems to translate them into technical designs - Design and implement technical features using best practices - Assist in the development phase of technology solutions for client engagements - Apply appropriate development methodologies to ensure successful project completion - Provide guidance and support to team members in project implementation planning - Work closely with a development team to interpret and implement business requirements effectively **Qualifications Required:** - Bachelor's or Master's degree in Business Analytics, Computer Science, MIS, or related field with academic excellence - Proficiency in RDBMS concepts, SQL, and programming languages such as Python - Strong analytical and problem-solving skills - Knowledge of algorithms and data structures **Additional Details:** - 0-3+ years of relevant professional experience in delivering small/medium-scale technology solutions - Strong verbal and written communication skills - Familiarity with Big Data Concepts and Cloud Platforms like AWS, Azure, and Google Cloud Platform - Understanding of productivity tools such as co-pilot and SQL generation - Willingness to travel to other offices as required At ZS, you will have opportunities for cross-functional skills development, milestone training programs, and internal mobility paths for career progression. The company follows a hybrid working model that allows for a flexible and connected way of working, combining on-site and remote work. ZS also offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. ZS is committed to building a diverse team that reflects a broad variety of backgrounds, perspectives, and experiences. If you are eager to contribute and bring your unique self to work, ZS encourages you to apply. ZS is an equal opportunity employer providing equal employment and advancement opportunities without regard to any class protected by applicable law. To apply, candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required for consideration. Please note that agency calls are not accepted. For more information, visit [ZS official website](www.zs.com).,

Role Overview: You will be working as a Data Management Associate within the Meta Data Management team in the Controls Room. Your primary responsibility will be to support the onboarding and maintenance of data related to the Firmwide Operational Risk platforms and related ecosystem. You will collaborate with Product Owners, work stream leads, and other stakeholders to ensure accurate and timely management of metadata in accordance with guidelines and standards. Key Responsibilities: - Engage with Product Owners to gather information on Business and Reporting concepts for onboarding - Review and analyze metadata information in RDHP to ensure compliance with metadata management requirements - Refine Business concepts and reporting labels, review with stakeholders, and ensure alignment with guidelines - Capture and maintain Business and Technical lineage for data traceability in coordination with Product Owners and Technology counterparts - Follow-up with stakeholders to resolve queries and obtain additional information within targeted timelines - Generate Business Glossary artifacts for BCBS 239 purposes and provide scorecards, metrics, and reports to stakeholders - Ensure accurate and timely escalation and resolution of all inquiries - Identify opportunities to automate metadata management processes using tools like Databricks and SQL - Perform ad hoc analysis and generate data extracts using Databricks and SQL Qualifications Required: - Masters degree in Business Management/Finance or bachelors degree in Commerce/Accounts or equivalent - 8+ years of experience with 2 years of Data Management or related experience - Good understanding of Data governance framework, Data quality & Data lineage - Knowledge of data structures, data models, schemas, and taxonomies - Experience using Metadata management tools such as RDHP and Jade Catalog - Understanding of ETL processes and data transformation - Strong SQL skills and knowledge of Database management platforms like Databricks - Proficiency in Tableau/Alteryx and knowledge of Python or Java for automating metadata management processes - Intermediate knowledge of MS Office suite (Note: Additional details of the company were not provided in the job description),

As a Senior Engineer/Lead Senior Engineer in Data Analytics and ML Model Development, you will be part of a dedicated team that applies cutting-edge AI and ML technologies to address complex challenges in chip design, qualification, and debug engineering processes. The primary goal is to improve engineering efficiency by implementing intelligent automation, leveraging data-driven insights, and creating innovative tools. **Key Responsibilities:** - Design and implement comprehensive data analytics workflows tailored for semiconductor engineering applications. - Develop, train, and optimize ML models using various techniques including supervised, unsupervised, and deep learning. - Conduct feature engineering, model evaluation, and hyperparameter tuning to enhance model performance. - Build scalable data pipelines for ingestion and transformation using Python and cloud-native tools. - Utilize statistical analysis and visualization methods to extract valuable insights from extensive datasets. - Perform time series analysis employing techniques like ANOVA and other statistical methods. - Explore GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and offer technical guidance to internal teams. **Qualifications Required:** - Master's degree in Computer Science, Data Science, or a related field. - Proficient in programming with Python or C++. - Strong grasp of data structures, algorithms, and software design principles. - Excellent analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques. - Familiarity with deep neural network architectures such as RNNs and Transformers. - Proficiency with ML frameworks like scikit-learn, TensorFlow, or PyTorch. - Knowledge in GenAI, LLMs, and RAG Optimization, as well as LLM Finetuning and Distillation. - Skilled in data analysis using Pandas, NumPy, and Matplotlib. - Understanding of statistical analysis, visualization, feature engineering, and model evaluation. - Knowledge of GPU, CUDA, and high-performance computing frameworks and methods. **Additional Company Details:** The company offers benefits such as food provision, health insurance, internet reimbursement, life insurance, paid time off, and provident fund. This is a full-time, permanent position requiring in-person work. Ensure you have a Master's degree in Computer Science, Data Science, or a related field with at least 2 years of experience in machine learning. If you have a Ph.D. or extensive experience in large model development and training from scratch, familiarity with time series analysis, SQL databases, ETL frameworks, cloud platforms, LLM integration frameworks, distributed computing, and cloud-scale data processing, it would be considered a plus. Join our team to contribute to the advancement of chip design and engineering processes through innovative data analytics and machine learning solutions.,

As a Hardware Engineer at Qualcomm India Private Limited, you will play a crucial role in planning, designing, optimizing, verifying, and testing electronic systems. Your responsibilities will include working on various systems such as circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. You will be instrumental in launching cutting-edge products by collaborating with cross-functional teams to develop solutions and meet performance requirements. Key Responsibilities: - Design and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases. - Develop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques. - Perform feature engineering, model evaluation, and hyperparameter tuning to improve model performance. - Build scalable data ingestion and transformation pipelines using Python and cloud-native tools. - Apply statistical analysis and visualization techniques to derive insights from large datasets. - Conduct time series analysis using methods such as ANOVA and other statistical techniques. - Experiment with GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and provide technical guidance to internal teams. Qualification Required: - Masters degree in Computer Science, Data Science, or a related field. - Strong programming skills in Python or C++. - Solid understanding of data structures, algorithms, and software design principles. - Strong analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques (e.g., classification, clustering, dimensionality reduction). - Experience with deep neural network architectures including RNNs, and Transformers. - Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Proficiency in data analysis using Pandas, NumPy, and Matplotlib. - Statistical Analysis & Visualization - Feature Engineering & Model Evaluation - Understanding of GPU, CUDA & High performance Computing Frameworks & Methods. Preferred Qualifications: - PHD in Computer Science, Data Science, or a related field. - Experience in large Model Development & Training from the Scratch. - Familiarity with time series analysis methods including ANOVA, ARIMA, and seasonal decomposition. - Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS). - Knowledge of LLM integration frameworks (e.g., LangChain). - Hands-on experience with distributed computing and cloud-scale data processing. - Software Design & Architecture Qualcomm India Private Limited is focused on applying state-of-the-art AI and ML technologies to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development. If you are a passionate and technically strong engineer looking to drive innovation in chip design, qualification, and debug engineering, this is the perfect opportunity for you.,

As a candidate for the position at Adobe, you will be part of a team that is dedicated to changing the world through digital experiences. Your role will involve working on the design and development of large-scale data-driven systems using open-source technologies like Apache Spark, Hadoop Stack, Kafka, Druid, etc. You will also utilize your skills in NoSQL and RDBMS systems, coding in Java/Scala, and proficiency in data structures and algorithms to contribute to the success of the team. Key Responsibilities: - Participate in technical design and implementation strategy for major systems & components of AdCloud - Design, build, and deploy products with high quality standards - Bring innovation to the existing system for increased robustness, ease, and convenience - Articulate design and code choices to cross-functional teams - Review and provide feedback on features, technology, architecture, design, time & budget estimates, and test strategies - Collaborate with other teams to achieve common goals Qualifications Required: - 8+ years of experience in design and development of large-scale data-driven systems - Proficiency in open-source technologies such as Apache Spark, Hadoop Stack, Kafka, Druid, etc. - Experience with NoSQL (Cassandra/HBase/Aerospike) and RDBMS systems - Strong problem-solving, coding (in Java/Scala, etc.), and system design skills - Proficiency in data structures and algorithms - Cost consciousness around computation and memory requirements - Strong verbal and written communication skills - BTech/M.Tech/MS in Computer Science - AdTech Product Engineering Experience is preferred Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunities. They value new ideas from all levels of the organization and believe that the next big idea could be yours. Adobe aims to make its website accessible to all users, and if you require accommodation due to a disability or special need, you can contact accommodations@adobe.com or call (408) 536-3015.,