Live opening · Posted 9 hours ago

GCP Data Engineer

Tata Consultancy Services (TCS) · Greater Bengaluru Area (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyTata Consultancy Services (TCS)
LocationGreater Bengaluru Area (On-site)
Work modeNo
SkillsGCP, Python, Java, AWS, Azure, TensorFlow
SourceLinkedin
ListedPosted 9 hours ago

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About the role

Description supplied by the original job listing.

Experience: 5-12Years
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 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

Work arrangement
No

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