The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines, data integration solutions, and cloud-based data platforms that support enterprise analytics, reporting, and AI/ML initiatives. This role serves as a technical expert in data engineering, ensuring reliable data ingestion, high-quality data assets, and effective data processing while collaborating closely with architects, analysts, and business stakeholders.

Key Responsibilities
Data Engineering & Development Design, develop, and maintain scalable and high-performance data pipelines.
Build and optimize ETL/ELT processes to ingest, transform, and deliver data across enterprise platforms.
Develop and maintain reusable data engineering frameworks and components.
Implement data integration solutions for structured and unstructured data sources.
Support up-to-date cloud-based data platform initiatives.
Data Ingestion & Pipeline Operations Develop and manage batch and real-time data ingestion pipelines.
Monitor and optimize pipeline performance, reliability,



and scalability.
Troubleshoot data processing issues and implement corrective actions. Automate data workflows and orchestration processes.
Ensure timely and accurate data delivery to downstream consumers.
Data Quality & Governance Implement data validation, reconciliation, and quality controls. Support data governance standards, metadata management, and data lineage initiatives.
Identify and resolve data quality issues and causes. Contribute to data observability and monitoring solutions.
Ensure compliance with organizational data management standards. Meridian Platform Support & Implementation Support the implementation and enhancement of Meridian data solutions.
Develop integrations and data pipelines supporting Meridian initiatives.
Collaborate with stakeholders to translate business requirements into technical solutions.
Ensure successful deployment, testing, and operational support o

📌 Senior Data Engineer Chennai
🏢 Blackbuck Insights
📍 Chennai