Senior Data Engineer: Build Scalable ETL Pipelines on GCP

Tata Consultancy Services Limited

Sunnyvale (CA)

On-site

USD 110,000 - 150,000

Full time

4 days ago
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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage: Health
Dental & Vision
Disability Planning & Insurance
Parental Leaves
Commuter Benefits
Certification & Training Reimbursement
Time Off: Vacation & Holidays
401K Plan & College Fund

Job summary

Tata Consultancy Services Limited in Sunnyvale, CA is seeking a Senior Engineer Data Engineer to design, build, govern, and optimize data platforms and pipelines for analytics, AI/ML, and business operations.

The role requires hands-on experience with GCP, PySpark, Python, Airflow, Hive, and Kafka, with a focus on scalable ETL/ELT development and data quality and governance. Join a team delivering high-performance data solutions.

Qualifications

  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Automate data ingestion from multiple data sources.
  • Ensure reliable, high-performance, and scalable data movement.
  • Develop and optimize PySpark-based data processing frameworks.
  • Build and manage Airflow workflows and orchestration pipelines.
  • Work with Hive and Kafka-based batch and streaming data solutions.
  • Implement data quality, monitoring, governance, and operational controls.
  • Support production incidents, performance tuning, and continuous improvement initiatives.

Responsibilities

  • The Data Engineer will be responsible for designing, building, governing, and optimizing data platforms, pipelines, and integrations to ensure secure, reliable, and scalable data availability for analytics, reporting, AI/ML, and business operations.

Skills

GCP
PySpark
Python
Airflow
Hive
Kafka

Job description

Tata Consultancy Services Limited in Sunnyvale, CA is seeking a Senior Engineer Data Engineer to design, build, govern, and optimize data platforms and pipelines for analytics, AI/ML, and business operations.

The role requires hands-on experience with GCP, PySpark, Python, Airflow, Hive, and Kafka, with a focus on scalable ETL/ELT development and data quality and governance. Join a team delivering high-performance data solutions.

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