Data Engineer
- September 24, 2025
Job description
- Design, implement, and optimize data pipelines and workflows to ensure efficient and reliable data processing.
- Integrate and manage data from multiple sources to support analytics and reporting needs.
- Design, maintain, and evolve data architecture to meet current and future business needs.
- Ensure data quality, reliability, and system scalability across multiple environments.
- Utilize cloud services and Big Data platforms (AWS Glue, Redshift, S3, Lambda) to deliver scalable data solutions.
- Collaborate with cross-functional teams to understand business requirements and provide effective data solutions.
Qualifications
- Minimum of 5 years of hands-on experience in Data Engineering.
- Strong expertise in AWS cloud services (Glue, Redshift, S3, Lambda).
- Proficient in SQL, Oracle, and Python.
- Experience with CI/CD tools such as GitLab and GoCD.
- Strong knowledge of data workflows, with the ability to design and optimize data processing solutions.
- Solid understanding of ETL, Data Lakes, and Data Warehousing.
- Proven ability to work in Big Data environments and deliver high-quality, scalable solutions.
Ref. Code: CTR01