Experience:4-15

Job Location: Pan India(Metro Cities)

Job Summary: An experienced Google Data Engineer / Lead to design, develop, and maintain large-scale data processing systems on Google Cloud Platform (GCP). The ideal candidate should have a solid background in data engineering, data warehousing, and cloud-based data platforms.

Responsibilities:

- Data Pipeline Development: Design, develop, and maintain data pipelines using Google Cloud Dataflow, Cloud Composer, and BigQuery.
- Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using BigQuery and Cloud Storage.
- Data Governance: Develop and maintain data governance policies, procedures, and standards for GCP.
- Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.
- Cost Optimization:



Optimize GCP costs and ensure data processing efficiency.

Required Skills:

- Google Cloud Platform: In-depth knowledge of GCP, including Cloud Dataflow, BigQuery, Cloud Storage, and Cloud Composer.
- Data Engineering: Strong understanding of data engineering concepts, including data modeling, ETL, and data warehousing.
- Expertise in Cloud storage, Dataproc, Cloud Functions, Messaging/Streaming (pub-sub)
- Programming: Proficiency in programming languages, including Python, Java, or SQL.
- Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.
- Communication: Excellent communication and collaboration skills.

📌 Gcp Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru