Data Engineer
Synechron (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze and redesign existing Omnia-based Spark data pipelines into scalable cloud solutions using AWS, Snowflake, and dbt.
- Design, develop, and maintain reliable and high-performance batch and event-driven data pipelines and transformations on cloud data platforms.
- Implement and maintain data quality, reconciliation controls, troubleshoot pipeline issues, and collaborate with stakeholders to translate business requirements into technical data rules.
Minimum Requirements
- Strong hands-on experience with AWS data services (S3, Glue, EMR, Lambda, Athena, Step Functions, SQS, IAM, Secrets Manager, CloudWatch).
- Proven expertise in Spark ETL, PySpark, Python programming, and advanced SQL for complex data transformations and query optimization.
- Experience with Snowflake, dbt, Apache Airflow, Git, CI/CD, Jenkins, and DevSecOps practices in a data engineering environment.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in analyzing and translating complex legacy Omnia-based enterprise data pipelines to modern cloud-native architectures.
- Technically strong with full stack data engineering skills focusing on AWS, Spark, Snowflake, and automation frameworks.
- Able to work cross-functionally with data designers, product owners, and SMEs to implement durable, scalable cloud data solutions.