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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
Job ID: 143260795
