**Designation : Senior Analyst \- Data Engineering** **Level : L2** **Location : Chennai, Tamil Nadu , India** **Experience : 3 to 5 years** **Job Role** : * 3\+ years of experience delivering enterprise cloud data engineering solutions. * Strong programming skills in Python and SQL. * Experience supporting AI/ML, GenAI, Retrieval\-Augmented Generation (RAG), semantic search, feature engineering, or model monitoring. * Experience working with unstructured data (documents, logs, images, text, transcripts, and embeddings). * Hands\-on experience with BigQuery, Spark, Dataflow, Dataproc, Airflow/Cloud Composer, DBT, or Dataform. * Hands\-on experience with MLOps, pipeline observability, and production incident management. * Experience building scalable batch and streaming data pipelines. * Knowledge of DataOps practices, including Git, CI/CD, automated testing, and version control. * Experience migrating legacy Hadoop or on\-premises platforms to cloud\-native environments. * Knowledge of APIs, microservices, event\-driven architectures, streaming data, and real\-time analytics. * Cloud certifications in GCP, AWS, or Azure. * Experience mentoring junior engineers and contributing to engineering standards. **Responsibilities** : * Translate business, analytics, and AI use cases into scalable data engineering solutions. * Design, develop, and maintain batch and streaming data pipelines. * Build reusable, production\-grade data products for analytics, BI, ML, and GenAI applications. * Develop high\-quality ETL/ELT pipelines using Python and SQL. * Utilize cloud\-native technologies such as BigQuery, Dataflow, Dataproc, Spark, Airflow/Cloud Composer, DBT, and Dataform. * Implement data quality validation, monitoring, metadata management, lineage, and observability. * Enable AI/ML and GenAI teams by preparing feature datasets, vector\-ready datasets, and governed data assets. * Optimize pipeline performance, storage utilization, cloud cost, and system reliability. * Apply DataOps practices, including CI/CD, automated testing, version control, and release management. * Support data governance, security, privacy, access control, and regulatory compliance. * Collaborate with Data Scientists, ML Engineers, Product Owners, and business stakeholders. * Troubleshoot production issues and continuously improve platform stability and performance. **Required skills** : Python \- SQL / BigQuery \- Google Cloud Platform (GCP) \- Data Engineering (ETL/ELT \& Data Pipelines) \- Spark / Dataflow / Dataproc,\- Airflow / Cloud Composer \- DBT / Dataform \- Git \& CI/CD (DataOps) \- AI/ML \& GenAI Data Engineering \- Data Quality, Governance \& Monitoring. Job Snapshot Updated Date 30\-09\-2026 Job ID J\_5896 Location Chennai, Tamil Nadu, India Experience 3 \- 5 Years Employee Type Permanent