26-223: Senior Data Engineer
Navitas Business Consulting, Inc. (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 18–28 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, monitor, troubleshoot, and optimize Amazon Redshift data warehouse and ETL/ELT data pipelines ensuring reliable, performant, and accurate scheduled data processing.
- Provide production support including rotational on-call duties for resolving data processing issues, performing root cause analysis and implementing permanent fixes to prevent recurrence.
- Participate in the phased migration of Redshift workloads to Databricks by learning Databricks tools and assisting in converting existing SQL transformations, maintaining stability during transition.
Minimum Requirements
- Strong hands-on experience with Amazon Redshift, SQL development, and production data engineering support including ETL/ELT pipelines and job scheduling.
- Experience in production job monitoring, troubleshooting, incident resolution, and participating in on-call production support rotations.
- Proficiency in SQL query writing, performance tuning, Python scripting for ETL automation, and familiarity with Amazon S3 and AWS data services.
- Work Experience Required: Not explicitly mentioned in the JD. Location: Hyderabad/Vijaywada, India.
Ideal Candidate Profile
- Experienced in supporting data warehouse environments consumed by BI tools like Tableau with a strong focus on data quality, validation, and analytics support.
- Demonstrates ability and willingness to learn and adopt modern data engineering platforms such as Databricks, Delta Lake, Spark, and associated modernization practices.
- Capable of collaborating across analytics, infrastructure, and application teams to maintain operational reliability and participate in improvement initiatives with strong documentation and knowledge sharing.