Google Data Engineer(GCP)(candidates with 6+ yrs exp only)
Summary
Design, develop, and maintain GCP data pipelines and data warehousing solutions using BigQuery, Dataflow, Cloud Composer, and Cloud Storage while ensuring data governance and cost optimization.
TCS Hiring!!
TCS is having walkin Drive At TCS Banglore location on 8 Aug 2026 for skill Google Data Engineer
Exp Req:6 to 15 yrs
JD
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.
Preferred Skills:
- Google Cloud Certifications: Relevant certifications, such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Enterprise Data Engineer.
- Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.
- Machine Learning: Experience with machine learning frameworks, including TensorFlow or Scikit-learn.
- Cloud Experience*: Experience with other cloud-based data platforms, including AWS or Azure