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

Overview

Build and support cloud data pipelines and data models to integrate and transform business data into an enterprise data warehouse using GCP.

What you'll do

• Design, build, and support cloud-based data pipelines and data models with GCP preferred.
• 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.
• Evaluate new tools, technologies, and big data processes to improve delivery.
• Drive automation, continuous improvement, and problem-solving in ambiguous situations.

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.
• 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.
• Strong communication and stakeholder management skills.

Nice to have

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

Details

• Age eligibility requirement applies based on the job’s country.