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