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Senior Data Engineer - Databricks
eGrove Systems Pvt. Ltd
Karnataka, IND
Full-time
Onsite
₹800,000–₹1,200,000 per year
Discovered 1 weeks ago
DatabricksApache Spark and PySparkPythonSQLDelta LakeData engineering
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DatabricksApache Spark and PySparkPython
Role Overview
Build scalable, reliable, and high-performance data platforms using Databricks and modern cloud technologies.
The role covers design, development, optimization, and support of production-grade data engineering solutions.
The expected experience range is 4–8 years, with at least 4 years of professional data engineering experience.
Key Skills for This Role
DatabricksApache Spark and PySparkPythonSQLDelta LakeData engineering
Full Job Posting
About the Role
Build scalable, reliable, and high-performance data platforms using Databricks and modern cloud technologies.
The role covers design, development, optimization, and support of production-grade data engineering solutions.
The expected experience range is 4–8 years, with at least 4 years of professional data engineering experience.
Work Arrangement
- The role is based in Bengaluru, Karnataka, near Lalbagh.
- Work mode is work from office and onsite.
- The interview process includes a face-to-face interview.
Compensation
- Salary is ₹800,000–₹1,200,000 per year.
Key Responsibilities
- Design, develop, and maintain scalable batch and streaming data pipelines using Databricks and Apache Spark.
- Build ETL/ELT pipelines using PySpark, Python, and SQL.
- Develop data ingestion frameworks from databases, APIs, files, and other enterprise data sources.
- Build data transformation and processing pipelines using Delta Lake.
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