Google Data Engineer

Job description

Job Title

Google Data Engineer / Lead Experience : 6-15 years 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 strong background in data engineering, data warehousing, and cloud-based data platforms.

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.

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.

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,

Qualifications

BACHELOR OF ENGINEERING