GCP Data Engineer

HCLTech is looking for a highly talented and self-motivated GCP Data Engineer to join it in advancing the technological world through innovation and creativity. The role involves designing, developing, and maintaining data pipelines and products within the Google Cloud Platform, optimizing ETL processes, and providing technical leadership within the team.

Responsibilities:

• Design, develop, and maintain scalable and reliable data pipelines and data products within the Google Cloud Platform (GCP) ecosystem
• Build and optimize ETL/ELT processes using tools like Dataflow, Dataform, and Matillion to ingest and transform data from a variety of sources
• Leverage Google BigQuery to model, store, and deliver data for analytics and advanced business intelligence applications
• Develop and maintain compelling analytics solutions for BI and data visualization platforms such as Quick Suite or Looker
• Collaborate with stakeholders to gather requirements and translate them into detailed technical design specifications and discovery documentation
• Write clean, efficient, and well-tested application software, including SQL scripts and procedures, ensuring it meets functional and performance requirements
• Proactively troubleshoot, debug, and resolve data and application issues, providing post-implementation and rotational on-call support to ensure business continuity
• Provide technical leadership and mentorship within the team, sharing expertise and promoting best practices
• Partner with external vendors on co-development initiatives to deliver integrated solutions
• Maintain clear and proactive communication with the Information Engineering Technical Lead and team members regarding project status, risks, and concerns
• Ensure all solutions are compliant with departmental SOPs and contribute to process improvements

Requirements:

• Design, develop, and maintain scalable and reliable data pipelines and data products within the Google Cloud Platform (GCP) ecosystem
• Build and optimize ETL/ELT processes using tools like Dataflow, Dataform, and Matillion to ingest and transform data from a variety of sources
• Leverage Google BigQuery to model, store, and deliver data for analytics and advanced business intelligence applications
• Develop and maintain compelling analytics solutions for BI and data visualization platforms such as Quick Suite or Looker
• Collaborate with stakeholders to gather requirements and translate them into detailed technical design specifications and discovery documentation
• Write clean, efficient, and well-tested application software, including SQL scripts and procedures, ensuring it meets functional and performance requirements
• Proactively troubleshoot, debug, and resolve data and application issues, providing post-implementation and rotational on-call support to ensure business continuity
• Provide technical leadership and mentorship within the team, sharing expertise and promoting best practices
• Partner with external vendors on co-development initiatives to deliver integrated solutions
• Maintain clear and proactive communication with the Information Engineering Technical Lead and team members regarding project status, risks, and concerns
• Ensure all solutions are compliant with departmental SOPs and contribute to process improvements