GCP Data Engineer (Google Cloud Platform) Job @ Capgemini Technology

Job Description

Job Title: GCP Data Engineer
Job Description:
We are looking for a skilled GCP Data Engineer with a strong foundation in designing and implementing data pipelines on Google Cloud Platform (GCP). The ideal candidate should have in-depth experience in programming with Java, Python, or Spark on GCP, and should be proficient with big data technologies.

Key Responsibilities:

• Design, build, and maintain data pipelines for both ETL and ELT processes.
• Manage and optimize data movement, processing, and transformation.
• Apply Agile methodologies in data engineering tasks.
• Communicate effectively with cross-functional teams and provide solutions to complex data-related problems.

Required Skills:

• Expertise in GCP and core data engineering concepts.
• Strong programming skills in Java, Python, or Spark (PySpark).
• Extensive experience with Google Cloud Storage (GCS), Cloud Composer (Airflow), and BigQuery.
• Deep understanding of SQL and hands-on experience in building efficient data pipelines.

Preferred Skills:

• Experience with GCP tools such as Dataflow, Dataproc, and Apache Beam for pipeline development.
• Familiarity with additional GCP services like Datastore, Bigtable, Spanner, Cloud Run, and Cloud Functions.
• Google Cloud Professional Data Engineer certification is an advantage.

Experience: 6 to 12 years.
Location: Pan India (All Capgemini Locations).
Work Mode: Hybrid (work from office and remote).

 

 

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Keyskills:   gcp composers python sql