Description
You will lead a team of data engineers in designing and implementing big data solutions.
Responsibilities
- Lead the design and implementation of big data solutions using PySpark.
- Build and implement scalable data pipelines.
- Collaborate with cross-functional teams to develop data-driven solutions based on business needs.
- Implement data validation and quality checks to ensure accuracy and integrity.
- Mentor and coach team members on PySpark and big data best practices.
Required Skills
- 8+ years of experience in PySpark and data engineering development.
- Proven experience in a PySpark Lead or similar leadership role.
- Expertise in PySpark and Spark.
- Experience with Hadoop and Hive.
- Ability to design scalable data architectures.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.