Senior Associate | Data Engineering | Chennai | Engineering as a Service/ Operate

Role overview

Responsibilities

• Design, develop, and maintain scalable ingestion, transformation, and integration pipelines and ETL/ELT workflows for structured and unstructured data.
• Translate business and customer requirements into technical solutions; resolve non-standard data challenges.
• Develop data models, data quality frameworks, and validation processes; deliver trusted data assets with partner teams.
• Monitor and optimize pipeline performance, reliability, scalability, and cost; support cloud data platforms and warehouse/lakehouse environments.
• Implement governance, security, lineage, and compliance standards; create technical and operational documentation.
• Participate in code reviews, promote development and deployment best practices, and contribute to automation and CI/CD.
• Troubleshoot production issues, perform root-cause analysis, and implement sustainable improvements.
• Follow employment terms, company policies, and applicable work directives, which may include reassignment or changes to work location, team, shift, or work arrangements.

Required qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
• 3+ years in data engineering, software engineering, or big data development.
• Experience developing ETL/ELT pipelines and working with large-scale datasets, data warehouses, data lakes, and modern data architectures.
• Proficiency in SQL and Python; knowledge of Azure, AWS, or Google Cloud.
• Understanding of data modeling, data quality, and data governance.
• Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
• Ability to work independently with minimal supervision and handle multiple priorities.

Preferred qualifications

• Cloud certifications in Azure, AWS, or GCP are preferred.
• Experience with Databricks, Spark/PySpark, Snowflake, BigQuery, analytics, business intelligence, or AI/ML workloads is preferred.
• Regulated-industry experience and familiarity with Airflow, Azure Data Factory, or Cloud Composer are preferred.