Job Description & How to Apply Below
Job Position: GCP Big Data Engineer
Job Type: Full-Time
Location:
Bengaluru/Gurgaon
Experience:
5 to 10+ Years
Mandatory
Skills:
Python for DATA, GCP Big Query, Python, GCP Data stream, ANSI-SQL
Job Summary
Seeking a Specialist with 5 years of experience in GCP Data Analytics proficient in Python GCP Big Query and ANSISQL to drive data analytics initiatives.
Job Description
• Develop and maintain scalable data pipelines and analytics solutions on GCP
• Perform complex data analysis and generate actionable insights to support business objectives
• Ensure data quality integrity and security across analytics workflows
• Troubleshoot and optimize Big Query performance and SQL queries
• Mentor junior team members on Python programming and GCP analytics tools
• Collaborate with stakeholders to gather requirements and translate them into technical solutions
• Document analytics processes methodologies and best practices for team knowledge sharing
• Develop and maintain scalable data pipelines and analytics solutions on GCP
• Perform complex data analysis and generate actionable insights to support business objectives
• Ensure data quality integrity and security across analytics workflows
• Troubleshoot and optimize Big Query performance and SQL queries
• Mentor junior team members on Python programming and GCP analytics tools
• Collaborate with stakeholders to gather requirements and translate them into technical solutions
• Document analytics processes methodologies and best practices for team knowledge sharing.
Roles and Responsibilities
• Develop and maintain scalable data pipelines and analytics solutions on GCP
• Perform complex data analysis and generate actionable insights to support business objectives
• Ensure data quality integrity and security across analytics workflows
• Troubleshoot and optimize Big Query performance and SQL queries
• Mentor junior team members on Python programming and GCP analytics tools
• Collaborate with stakeholders to gather requirements and translate them into technical solutions
• Document analytics processes methodologies and best practices for team knowledge sharing
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