Senior Analyst - Data Engineering

Designation: Senior Analyst - Data Engineering Experience: 4 to 8 Years Location: Chennai, Tamil Nadu , India (CHN) Job Description: We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Snowflake, modern cloud data platforms, AI/ML enablement, and scalable data engineering practices. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-grade data pipelines and architectures that support advanced analytics, machine learning, AI/GenAI initiatives, and business intelligence solutions. This role requires hands-on expertise in data engineering, cloud platforms, data modeling, orchestration, and enabling AI/ML workflows through scalable and high-quality data ecosystems. Key Responsibilities Data Engineering Platform Development Design, build, and maintain scalable data pipelines for batch and real-time processing. Develop and optimize enterprise data platforms using Snowflake and cloud-native technologies. Build robust ETL/ELT frameworks for ingesting, transforming, and processing structured and unstructured data. Implement scalable data lake, data warehouse, and lakehouse architectures. Optimize data storage, query performance, and compute utilization within Snowflake environments. Develop reusable data engineering frameworks and best practices. Snowflake Engineering Optimization Architect and manage Snowflake data platform capabilities including: Snowpipe Streams Tasks Time Travel Secure Data Sharing Cloning Materialized Views Data Marketplace Integrations Implement performance tuning, workload optimization, and cost governance strategies. Design secure and scalable Snowflake data models and schemas. Enable enterprise-grade governance, monitoring, and access controls within Snowflake. Required Skills Strong expertise in Snowflake, SQL, Python, and cloud platforms such as AWS, Azure, or GCP. Hands-on experience in ETL/ELT pipeline development and data orchestration. Experience with data lake, data warehouse, and lakehouse architectures. Strong understanding of data modeling, query optimization, and performance tuning. Experience supporting analytics, AI/ML, and BI workloads. Knowledge of cloud-native data engineering best practices and governance frameworks. Preferred Skills Experience with Spark, PySpark, Databricks, Kafka, or Airflow. Exposure to AI/ML and GenAI data enablement workflows. Familiarity with CI/CD, DevOps, and Infrastructure as Code concepts. Educational Qualification Bachelor?s or Master?s degree in Computer Science, Data Engineering, Information Technology, or related technical disciplines. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.