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.
... We are looking for a Big Data Engineer to design, build, and operate large-scale data pipelines and analytical infrastructure that transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven https://jobeax.com/link/HouIpt6AtbK1KWOU data platform ingests and processes data ...
Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...
... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... This role requires deep expertise in data engineering principles, strong knowledge of relational databases, and experience with cloud technologies. The ideal candidate will ensure data integrity, compliance, and governance while driving innovation in data architecture and analytics. This position involves partnering with ...
... data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.- Ensure data privacy and compliance with relevant regulations (e.g., GDPR) when handling customer data.- Maintain data quality and consistency within the application, addressing ...
... validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, software developers, and DevOps teams Mentor junior engineers and promote ...
Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...
... highly skilled Senior Data Engineer with strong expertise in Data Architecture, System Design, Python, and SQL to design, build, and own end-to-end production data pipelines powering analytics and business https://jobeax.com/link/31g3t2QRSRYuSEHD ideal candidate should have strong experience in transaction-level data modeling, ...
... machine learning infrastructure, or data science workflows. - Experience building data systems that support analytics, machine learning, or other high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. ...
... machine learning infrastructure, or data science workflows. - Experience building data systems that support analytics, machine learning, or other high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster performance, ensuring cost-effectiveness and efficient ...
... data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications For Data Engineer We are looking for a candidate with 3+ years of ...
... communication, stakeholder management, and collaboration https://jobeax.com/link/xZz9t53CxzXOIxAZ : - A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred.- SAP certifications in SAP BW, SAP Datasphere, SAP HANA, or SAP Analytics Cloud will be an added advantage. (ref:hirist.tech)
... Skills:- Experience with AI/ML integration platforms (e.g., Azure OpenAI, Copilot, Python/R scripts for predictive analytics in Power BI).- Knowledge of cloud data engineering & tools (Azure Data Lake, Synapse, Databricks) and automated pipeline integrations.- Familiarity with Agile delivery practices and managing client-facing ...
Sales Operations & Business Analytics Specialist Job Type: Full-time Location: Remote — United States Openings: 1 Compensation: $100,000–$140,000/year About the Opportunity We are seeking a Sales Operations & Business Analytics Specialist to strengthen the systems, data, and insights supporting a growing revenue organization. ...
... intelligent data experiences—data agents, conversational analytics, and grounded insights—built on governed Datasphere models and integrated enterprise sources. SAP Datasphere is positioned as a data warehousing solution with integration capabilities. AI Native Data Product Engineering (on Datasphere) Design and implement governed ...
... of ETL best practices and data transformation techniques. Understanding of data governance frameworks and practices. Proven track record of delivering data engineering projects, particularly in cloud environments. Experience with large-scale data processing and analytics projects. Ability to work in Agile teams and collaborate ...
... Hands-on experience with Databricks, including development, optimization, and management of large-scale data processing and analytics workload- Must have an understanding of streaming data pipelines for near real-time analytics- Hands-on experience and good understanding of AWS services for data engineering, including AWS Glue, ...