Job Description
Job Title: Google Data Engineer / Lead
nExperience: 5-15 years
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nJob 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.
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nResponsibilities:
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- Data Pipeline Development: Design, develop, and maintain data pipelines using Google Cloud Dataflow, Cloud Composer, and BigQuery.n
- Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using BigQuery and Cloud Storage.n
- Data Governance: Develop and maintain data governance policies, procedures, and standards for GCP.n
- Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.n
- Cost Optimization: Optimize GCP costs and ensure data processing efficiency.n

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nRequired Skills:
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- Google Cloud Platform:



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

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nPreferred Skills:
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- Google Cloud Certifications: Relevant certifications, such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Enterprise Data Engineer.n
- Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.n
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