Data and Analytics Engineer in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
As a key member of the QTC, you will play a pivotal role in migrating data from diverse sources and applications, developing solutions, validating systems, and addressing various challenges in enterprise applications. You will be involved in the complete development lifecycle—from analysis and design to testing and release—focusing on delivering solutions that align with business goals, technical requirements, and best practices. Capture operational metrics and performance indicators to highlight the value of team deliverables and enhance visibility into operations. Flexibility for travel is required. Design, code, and review solutions to ensure high standards of quality. Prepare and report project performance metrics and KPIs. Qualifications & Experience Bachelor's degree in computer science or a related field with 5+ years of experience in ETL development or similar roles. Proven expertise in managing large data volumes and working with diverse data sources. Strong analytical skills with a track record of success in enterprise applications or integration projects. Hands-on experience using industry best practices for standards and methodologies. Hands-on experience withUnix Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. Familiarity with Siebel Complex assets data model.
Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...
GCP Data Engineer Mandatory Skills Relevant work experience between 3 to 7 years. Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions using at least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming ...
... services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage Airflow workflows and Amazon EMR clusters. Integrate data services with API Gateway and REST/Soap APIs. Required qualifications - 3 to 5 years of experience in data engineering. - ...
... applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing - 2+ years of hands-on experience ...
... a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. You will design and optimize robust data pipelines, build integrations ...
... Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. ...
... platforms Design & deliver data warehousing solutions and key data engineering workstreams for any required solution. Support cross-functional teams across the data space. 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL ...
... the packing, shipping, and logistics of equipment to and from remote colocation sites. Maintaining data center documentation. Core business hours for planning and monitoring Weekends and out-of-hours work for physical infrastructure changes (with time off provided during the week) As our next Data Centre Engineer, you'll ...
... Skills & Qualifications: - 4+ years of hands-on experience in data engineering roles. - Strong experience with DBT for modular, testable, and version-controlled data transformation. - Proficient in Java, especially for building custom data connectors or processing frameworks. - Deep understanding of Apache Airflow and ability ...
... data analysis to validate source data, understand distributions, and surface data anomalies during scoping and build phases. Work with stakeholders to define and monitor data SLAs, ensuring data products are trustworthy and consistently delivered. What You Bring - 4–6 years of experience in data engineering, analytics ...
... MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience in Cloudera platforms, data engineering, and DevOps automation. The ideal candidate will manage and optimize Cloudera environments, ...
... fundamentals and engineering principles, with hands-on experience in big data technologies such as Scala and Spark. The role involves working with cloud or on-premises data infrastructure and contributing to the design and development of robust, scalable data pipelines and solutions. Key Responsibilities: - Design and develop scalable ...
... and maintainable code using Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines. GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration Python PySpark Strong SQL and data engineering fundamentals hands-on experience in ...
... are looking for a seasoned Data Engineer to take a lead role in shaping the data foundation across Landauer's growing portfolio of products. You will set the standards for how data is modeled, moved, and governed — owning the full data lifecycle from ingestion through analytics and AI feature delivery. You will serve as ...
... Develops and operationalizes data pipelines to bring data into Costco’s GCP landscape for the delivery of certified data sets Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration. ...
... scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating with product, engineering, and analytics teams to support ...
... Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth. Founded in 1991, we are cloud and data engineering leaders providing solutions ...
... including reviewing third-party/vendor-built data models and presenting recommendations to executive stakeholders - Azure Solutions Architect Expert, Azure Data Engineer Associate, or Fabric Analytics Engineer Associate) is required - Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or ...
... Design & Development Engineer will be responsible for the design, development, testing, validation, and optimization of electronic products. The role requires hands-on experience in analog and digital circuit design, electronic component selection, schematic development, simulation, and product validation. The engineer will ...
... including frontend and backend integration. Ability to design scalable and maintainable code that meets business requirements. Familiarity with data processing and analytics workflows within modern data platforms. Additional Information: The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics ...