GCP Data Engineer + Orchestration

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LTIMindtree

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Airflow Azure BigQuery CI Google Cloud Dataproc AWS ETL

Job Description

Skill: GCP Data Engineer + Orchestration

Experience: 5 to 8 years

Location: Pune/Hyderabad

Work Mode- Hybrid

Job Description:

We are looking for a skilled Data Engineer with strong experience in Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines. The ideal candidate should have hands-on expertise in BigQuery, SQL, Python (PySpark), and workflow orchestration tools.

Key Responsibilities:

  • Design, build, and optimize scalable data pipelines on GCP.
  • Work with large datasets using BigQuery and ensure efficient data processing.
  • Develop and maintain ETL/ELT pipelines using Python (PySpark).
  • Implement and manage workflow orchestration using tools like Airflow or similar.
  • Utilize GCP DataProc for distributed data processing.
  • Write efficient and optimized SQL queries for data transformation and analysis.
  • Collaborate with cross-functional teams including Data Analysts, Data Scientists, and stakeholders.
  • Ensure data quality, integrity, and governance across systems.
  • Monitor, troubleshoot, and optimize data workflows.

Mandatory Skills:

  • Strong experience in Google Cloud Platform (GCP)
  • Hands-on expertise in BigQuery
  • Proficiency in SQL
  • Strong programming skills in Python (PySpark)
  • Experience with Airflow or any orchestration tools
  • Experience with GCP DataProc

Good to Have:

  • Experience with data warehousing concepts
  • Knowledge of data modeling techniques
  • Exposure to CI/CD pipelines
  • Familiarity with other cloud platforms (AWS/Azure)


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