Senior Data Engineer – AWS & Databricks

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 up-to-date 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.
Solid 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 (India)
🏢 Talpro INdia
📍 India