Data Pipeline Developer

As a GCP Big Data Engineer, you will be responsible for developing and maintaining scalable data pipelines and analytics solutions on GCP. Your role will also involve performing complex data analysis to generate actionable insights that support business objectives. You will ensure data quality, integrity, and security across analytics workflows. Additionally, you will troubleshoot and optimize Big Query performance and SQL queries. Mentoring junior team members on Python programming and GCP analytics tools will be part of your responsibilities. Collaboration with stakeholders to gather requirements and translate them into technical solutions is essential. You will document analytics processes, methodologies, and best practices for team knowledge sharing. **Key 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 **Qualifications Required:** - 5+ years of experience in GCP Data Analytics - Proficiency in Python, GCP Big Query, and ANSI-SQL - Strong knowledge of data analytics and data engineering principles (Note: No additional details about the company were mentioned in the job description.) As a GCP Big Data Engineer, you will be responsible for developing and maintaining scalable data pipelines and analytics solutions on GCP. Your role will also involve performing complex data analysis to generate actionable insights that support business objectives. You will ensure data quality, integrity, and security across analytics workflows. Additionally, you will troubleshoot and optimize Big Query performance and SQL queries. Mentoring junior team members on Python programming and GCP analytics tools will be part of your responsibilities. Collaboration with stakeholders to gather requirements and translate them into technical solutions is essential. You will document analytics processes, methodologies, and best practices for team knowledge sharing. **Key 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 **Qualifications Required:** - 5+ years of experience in GCP Data Analytics - Proficiency in Python, GCP Big Query, and ANSI-SQL - Strong knowledge of data analytics and data engineering principles (Note: No additional details about the company were mentioned in the job description.)