We are seeking a highly skilled Lead Data Engineer with over 8 years of experience to join our dynamic team. The ideal candidate will have a robust background in Python and Advanced SQL, coupled with a deep understanding of data architecture and data pipelines within AWS environments.
Key Responsibilities
- Design & Develop. Architect and maintain end-to-end data pipelines and data architecture in AWS.
- Integration & Automation. Identify system integration opportunities and implement automation solutions.
- Proof of Concepts. Create and implement Proof of Concepts (PoCs) for diverse data-related projects.
- Collaboration. Work closely with cross-functional teams to optimize data workflows and ensure data integrity.
Required Skills and Qualifications
- Experience. 8+ years of hands-on experience with Python and Advanced SQL.
- System Integration. Proven track record in system integration and automation.
- PoCs. Expertise in designing and implementing Code PoCs.
- AWS. Strong understanding of AWS data architecture and data pipelines.
- Data Quality Management. Knowledge of Data Quality management is a plus.
Skills
- Primary Skill. Data Engineering
- Sub Skills. Data Engineering
- Additional Skills. Python, Apache Hive, AWS-Apps, MySQL, SQL, Azure SQL DBA
Why Join Us?
At Infogain, you'll be part of a forward-thinking team dedicated to engineering business outcomes and transforming digital experiences. We offer opportunities to work on innovative projects, advance your career, and collaborate with experts in the field. Join us in driving digital transformation for leading global companies.
Apply Today!
Ready to make a significant impact? Apply now to become a Lead Data Engineer at Infogain and be part of our journey to accelerate digital transformation.