5–7 yrsChennaiOn-siteDirect career pageEst. 12–22 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and maintain scalable, high-performance data pipelines and integration solutions supporting enterprise analytics and AI/ML initiatives.
- Develop and support modern cloud-based data platforms and automate data workflows ensuring reliable, timely data delivery.
- Provide technical leadership through mentorship, architecture participation, and promoting best practices, while supporting Meridian platform initiatives.
Minimum Requirements
- 5+ years of experience in Data Engineering or related fields.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Strong expertise in SQL, Python/Scala/Java, ETL/ELT frameworks, data warehousing, and cloud platforms (Azure, AWS, GCP).
- Experience with Meridian platform implementation/support, modern data platforms (Databricks, Snowflake, Azure Synapse, Microsoft Fabric), and streaming technologies (Kafka, Spark Streaming, Event Hubs).
Ideal Candidate Profile
- Experienced in designing and optimizing large-scale, enterprise data pipelines with a focus on automation and operational efficiency.
- Strong capability to collaborate cross-functionally with architects, analysts, and business stakeholders translating requirements into technical solutions.
- Demonstrated technical leadership in data engineering projects including mentoring engineers and improving platform stability through best practices and documentation.