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 :
Minimum 10 years experience in data engineering with at least 2 years working in AWS cloud‑based environmentsA senior role can be considered for candidates with more than 5‑9 years of experienceExperience in building and managing data models and data pipelines for large‑scale data environments.Proficiency in AWS tools : S3, Glue, Redshift, Lambda, Step Functions.Strong SQL and Python skills for data transformation and automation.Hands‑on experience working with various data sources, including structured and unstructured data.Solid grasp of data warehousing concepts, data modeling, and modern ELT / ETL practices.Strong problem‑solving skills and ability to work independently within a cross‑functional team.Open to work on contract roleSeniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
Industry
IT Services and IT Consulting
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