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 modern 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 of Meridian-related capabilities.

- Technical Leadership & Collaboration Provide technical guidance and mentorship to junior and mid-level engineers.

- Participate in architecture reviews, design sessions, and code reviews.

- Collaborate with data architects, product owners, analysts, and business stakeholders.

- Promote engineering best practices, automation, and continuous improvement.

- Document technical designs, standards, and operational procedures.

Requirements

- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. 5+ years of experience in Data Engineering or related disciplines.

- Strong experience designing and developing enterprise data pipelines and integration solutions.





- Expertise in SQL and one or more programming languages such as Python, Scala, or Java. Experience with ETL/ELT frameworks, data warehousing, and data lake architectures.

- Experience with cloud platforms such as Azure, AWS, or Google Cloud.

- Knowledge of workflow orchestration tools such as Airflow, Azure Data Factory (ADF), or similar platforms.

- Strong understanding of data quality, data governance, and monitoring concepts.

- Experience troubleshooting and optimizing large-scale data processing solutions.

- Preferred Qualifications Experience with Meridian platform implementation or support.

- Experience with Data bricks, Snowflake, Azure Synapse, Microsoft Fabric, or similar modern data platforms.

- Knowledge of streaming technologies such as Kafka, Spark Streaming, or Event Hubs.

- Familiarity with DevOps practices, CI/CD pipelines, Infrastructure as Code (IaC), and automated testing.

- Experience supporting AI/ML data pipelines and feature engineering. Relevant cloud, data engineering, or platform certifications.

- Success Measures Reliable and scalable data pipelines with minimal operational issues. Improved data quality and reduced production defects.

- Timely delivery of data engineering solutions and enhancements.

- Successful implementation and support of Meridian data initiatives.

- Increased automation, operational efficiency, and platform stability. High-quality technical documentation and adherence to engineering standards.

📌 Senior Data Engineer (Chennai)
🏢 Nameless
📍 Chennai