Senior Data Engineer (10–12 Years' Experience Required)

Overview

Own cloud data pipeline and data model design for the Enterprise Data Development team, using GCP to integrate and transform business data into data warehouse solutions.

What you'll do

• Design, build, and support cloud-based data pipelines and data models.
• Partner with business analysts, architects, and stakeholders to deliver business initiatives.
• Support existing data warehouses and related jobs.
• Troubleshoot technical and performance issues across the data environment.
• Lead small initiatives and contribute to enterprise project implementation.
• Drive automation, continuous improvement, and problem-solving in ambiguous situations.
• Evaluate new tools, technologies, and big data processes to improve delivery.

What you'll need

• 10–12+ years of experience in ETL and data engineering.
• At least 4+ years in cloud technologies.
• Proven experience as a technical or project lead for global initiatives.
• Strong ability to mentor developers and guide team delivery.
• Expertise in GCP, BigQuery, SQL, Composer, Cloud Functions, and data warehousing concepts.
• Working knowledge of Python, Kafka or Pub/Sub, and data storage tools such as S3 or Blob Storage.
• Bachelor’s or Master’s degree in a related quantitative discipline (Computer Science, Information Systems, Software Engineering, or similar).

Nice to have

• GCP Data Engineer certification and/or GCP certification.
• Understanding of the CPG industry.

Details

• Enterprise solutions use cloud technologies like GCP.