Role Details
- Experience: 6–10 Years
- Location: Bengaluru
- Work Mode: Hybrid (2–3 days/week from office mandatory)
- Mandatory Skills: AWS + Databricks
- Budget: 17 LPA
- Joining: Immediate / Early joiners preferred
- Contract Duration: 12 months
Role Overview
We are seeking a highly skilled Senior Data Engineer with strong hands-on experience in AWS and Databricks to design, implement, and optimize scalable data pipelines and analytics solutions. The ideal candidate should have deep expertise in Apache Spark, ETL design, cloud-native data engineering, and modern data governance practices.
You will collaborate closely with data scientists, analysts, and business stakeholders to deliver robust, high-performance data solutions that drive strategic insights.
Key Responsibilities
- Design, develop, and optimize ETL pipelines using Databricks and Apache Spark.
- Build scalable and productive data models and schemas.
- Collaborate with data scientists to support ML model deployment.
- Ensure data quality, consistency, reliability,
and governance.
- Optimize SQL queries and troubleshoot performance bottlenecks.
- Implement data security, access controls, and governance policies.
- Work with Databricks Unity Catalog for centralized governance.
- Develop and maintain technical documentation.
- Participate in code reviews and mentor junior engineers.
- Translate business requirements into scalable technical solutions.
- Support real-time and streaming data processing use cases.
Required Skills & Qualifications
Technical Skills
- 6–10 years of experience in Data Engineering.
- Strong expertise in Databricks Platform and Apache Spark.
- Hands-on experience with AWS cloud services.
- Excellent SQL skills.
- Strong programming skills in Python or Scala.
- Experience building robust ETL processes and data pipelines.
- Experience with Databricks Unity Catalog.
- Understanding of distributed computing and big data architecture.
- Fami
📌 Senior Data Engineer – AWS (Bengaluru)
🏢 Talpro INdia
📍 Bengaluru
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