- Experience
- 6–15 yrs
- Salary
- —
- Openings
- 1
- Posted
- 7 hours ago
- Work mode
- In office
- Eligibility
- Anyone can apply; graduation is not mandatory.
- Resume
- Required to apply
Where you'll work
Job description
Position Overview
We are seeking an experienced Lead Data Engineer to spearhead the development of advanced data engineering solutions utilizing technologies such as PySpark, Synopsys, Oracle ADF, and more, tailored to fulfill business needs effectively.
Key Responsibilities
- Drive the design and implementation of scalable data pipelines that seamlessly integrate with current systems through collaboration with cross-functional teams.
- Produce robust, efficient code in Python and SQL to handle extensive datasets proficiently.
- Oversee project progress by coordinating timelines, managing resources, and engaging stakeholders to assure timely completion.
Qualifications and Experience
- A solid 6 to 15 years of experience in Data Engineering or similar domains.
- Demonstrated expertise in tools and frameworks like PySpark, Synopsys, Oracle ADF, and Fabric or equivalents.
- Proven track record with big data analytics projects, particularly those involving complex data transformations and systems integration.