Lead Data engineer

We are seeking a skilled and proactive Lead / Senior Data Engineer to design, develop, and optimize our modern cloud-native data warehouse on AWS. This role focuses on building scalable, secure, and high-performance data pipelines that support analytics, reporting, and AI use cases across the organization. The ideal candidate is technically hands‑on, solutions‑oriented, and experienced in cloud‑based data engineering.

Design and implement scalable data architecture using AWS services such as S3, Glue, Redshift, Lambda, and Step Functions.

• Build and maintain robust ETL / ELT pipelines to transform raw data into clean, structured datasets.
• Ensure data solutions are reliable, high-performing, and production-ready.
• Ensure strong data governance, security, and quality control across all pipelines and datasets.
• Write clean, well‑documented code and support testing, automation, and version control practices.
• Collaborate closely with analysts, business stakeholders, and IT teams to understand data needs and deliver user‑friendly data solutions.
• Contribute to a knowledge‑sharing culture and help uplift the technical standard of the team.
• Continuously refine and optimize data models (e.g., star schema) to improve reporting efficiency.
• Proactively identify and address performance bottlenecks and inefficiencies in data workflows.

Requirements :

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industry

IT Services and IT Consulting

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