Lead Data Engineer (Python, Spark, AWS)

Seeking a Lead Data Engineer skilled in Python, Spark, and AWS to drive data-driven transformations.

Collaborate with Agile teams to design, develop, test, and support full-stack technical solutions.

Work with experienced developers in machine learning, microservices, and system integration.

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

Stay current on technology trends, experiment with new tools, and mentor team members.

Deliver robust cloud-based solutions supporting digital products that empower millions.

Conduct unit tests, code reviews, and performance tuning.

Basic qualifications include a bachelor’s degree, 4+ years in application development, and 2+ years in big data tech. Preferred qualifications include 7+ years in application development, 4+ years in cloud and distributed computing, and experience with NoSQL and data warehousing. Salary varies by location. This role offers competitive benefits and performance incentives.