Big Data Developer

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