Senior Analyst - Data Engineering
Chennai · Mid Level
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Job description
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.
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