Job Description
Senior Data Engineer
Location: Bangalore/ chennai/ Gurgoan
NP- Immediate / 15 days
Should be available for F2F Interview
CTC : 30% hike on current ctc
F2F will be 1 round offer
Year of Exp- 4 +
We are looking for a Senior Data Engineer (4+ years experience) with strong expertise in PySpark and Google Cloud Platform (GCP) to build, optimize, and maintain scalable data processing solutions for large-scale analytics and data-driven applications.
Key Responsibilities
• Design, develop, and maintain high-performance PySpark ETL/ELT pipelines on GCP Dataproc
• Handle large volumes of structured, semi-structured, and unstructured data
• Build and manage data workflows using Cloud Composer (Airflow)
• Integrate data from diverse sources into Google Cloud Storage (GCS) and BigQuery
• Optimize Spark jobs for performance, scalability, and cost efficiency
• Implement data quality checks, logging, and monitoring
• Collaborate with data scientists, analysts, and product teams
• Apply GCP IAM, security, and governance best practices
• Participate in code reviews and mentor junior engineers
• Support production deployments and troubleshoot data pipeline issuesRequired Skills & Experience
• 4+ years of experience in Data Engineering or Big Data development
• Strong hands-on experience with PySpark
• Solid experience with Google Cloud Platform (GCP)
• Expertise in Dataproc, GCS, and BigQuery
• Strong knowledge of Spark SQL, DataFrames, partitioning, and tuning
• Proficiency in Python
• Experience with Airflow / Cloud Composer
• Good understanding of data warehousing concepts
• Familiarity with Git, CI/CD, and Linux
• Interested candidate can share profile to Rekha.C@eagledrift.com
Job Type: Full-time
Pay: ₹367,463.54 - ₹1,678,523.86 per year
Work Location: In person
Location: Bangalore/ chennai/ Gurgoan
NP- Immediate / 15 days
Should be available for F2F Interview
CTC : 30% hike on current ctc
F2F will be 1 round offer
Year of Exp- 4 +
We are looking for a Senior Data Engineer (4+ years experience) with strong expertise in PySpark and Google Cloud Platform (GCP) to build, optimize, and maintain scalable data processing solutions for large-scale analytics and data-driven applications.
Key Responsibilities
• Design, develop, and maintain high-performance PySpark ETL/ELT pipelines on GCP Dataproc
• Handle large volumes of structured, semi-structured, and unstructured data
• Build and manage data workflows using Cloud Composer (Airflow)
• Integrate data from diverse sources into Google Cloud Storage (GCS) and BigQuery
• Optimize Spark jobs for performance, scalability, and cost efficiency
• Implement data quality checks, logging, and monitoring
• Collaborate with data scientists, analysts, and product teams
• Apply GCP IAM, security, and governance best practices
• Participate in code reviews and mentor junior engineers
• Support production deployments and troubleshoot data pipeline issuesRequired Skills & Experience
• 4+ years of experience in Data Engineering or Big Data development
• Strong hands-on experience with PySpark
• Solid experience with Google Cloud Platform (GCP)
• Expertise in Dataproc, GCS, and BigQuery
• Strong knowledge of Spark SQL, DataFrames, partitioning, and tuning
• Proficiency in Python
• Experience with Airflow / Cloud Composer
• Good understanding of data warehousing concepts
• Familiarity with Git, CI/CD, and Linux
• Interested candidate can share profile to Rekha.C@eagledrift.com
Job Type: Full-time
Pay: ₹367,463.54 - ₹1,678,523.86 per year
Work Location: In person
💡 Quick Summary
Seeking a career-building opportunity? The GCP & PySpark position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.