Data Engineer – ETL/ELT, Databricks, GCP BigQuery, Python & SQL

Experience: 7+ Years

Locations: Chennai / Bangalore / Hyderabad / Noida / Mumbai / Kolkata / Nagpur / Warangal / Bhubaneswar

Position: FTE

Budget: ₹22–23 LPA

Role Overview

We are looking for an experienced Data Engineer with 7+ years of experience in data engineering and strong hands-on expertise in ETL/ELT, Databricks, GCP BigQuery, Python, and SQL.

The ideal candidate should have proven experience designing, developing, maintaining, and optimizing scalable data pipelines and data processing solutions across multiple data sources.

Key Responsibilities

Design, develop, and maintain scalable data engineering solutions.

Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.

Work extensively with Databricks for data engineering and data processing requirements.

Design and optimize data solutions using GCP BigQuery.

Develop robust data engineering solutions using Python.

Write and optimize complex SQL queries for data extraction, transformation, analysis, and processing.

Perform data transformation, integration, and processing across multiple data sources.

Build and maintain reliable, scalable, and optimized data pipelines.

Troubleshoot and resolve data pipeline and data processing issues.

Collaborate with technical and business teams to understand data requirements and deliver effective data solutions.

Mandatory Skills & Experience





7+ years of experience in Data Engineering.

Strong hands-on experience with ETL/ELT processes and data pipelines.

Strong hands-on experience with Databricks.

Robust hands-on experience with GCP BigQuery.

Strong programming experience with Python.

Strong hands-on experience with SQL, including complex queries and data transformations.

Strong understanding of data ingestion, transformation, integration, and processing.

Experience developing and maintaining scalable data pipelines.

Strong troubleshooting and problem-solving skills.

Candidate Profile

7+ years of relevant experience in Data Engineering.

Strong hands-on experience across ETL/ELT, Databricks, and GCP BigQuery.

Strong Python programming and SQL development skills.

Proven experience building and optimizing scalable data pipelines.

Strong understanding of data integration, transformation, and processing across multiple sources.

Experience working in enterprise data engineering environments.

Ability to work independently as well as collaboratively with cross-functional teams.

Strong analytical, troubleshooting, and problem-solving capabilities.

Mandatory Skills: Data Engineering, ETL/ELT, Data Pipelines, Databricks, GCP BigQuery, Python, SQL, Data Ingestion, Data Transformation, Data Integration, Data Processing.

Pay: Up to ₹2,300,000.00 per year

Work Location: In person

📌 Data Engineer (Chennai)
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