Lead Data Engineer (Python, Spark, AWS)

Seeking a Lead Data Engineer with expertise in Python, Spark, and AWS to drive innovative data solutions.

Collaborate with Agile teams to design, develop, and support full-stack data systems.

Work with experienced developers in machine learning and microservices.

Utilize programming languages like Java, Scala, and Python, and cloud data warehousing services such as Redshift and Snowflake.

Share knowledge through mentorship, stay updated on tech trends, and experiment with new technologies.

Deliver robust cloud-based solutions to enhance customer experiences and promote financial empowerment.

Conduct unit testing and code reviews to ensure performance and quality.

Basic qualifications include a bachelor’s degree, 4+ years in application development, and 2+ years with big data technologies. Preferred candidates have 7+ years of experience, cloud expertise, and familiarity with distributed data tools.