Greetings from TCS
TCS is hiring Google Data Engineer / Lead
Job Title: Google Data Engineer / Lead
Experience: 6-12 years
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 strong 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 Big Query. Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using Big Query 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, Big Query, 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 - Skilled Data Engineer or Google Cloud Certified - Enterprise Data Engineer. Big Data: Experience with big data technologies, including Hadoop, Spark, or No SQL databases. Machine Learning: Experience with machine learning frameworks, includ

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