Lead Data Engineer (Python, Spark, AWS)

Seeking a Lead Data Engineer proficient in Python, Spark, and AWS to drive data transformation and cloud-based solutions.

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

Work with machine learning, microservices, and distributed systems using Java, Scala, Python, and open-source databases.

Utilize cloud data warehousing services like Redshift and Snowflake, and stay current with emerging tech trends.

Mentor team members, participate in code reviews, and ensure performance tuning.

Qualifications include 4+ years in application development, 2+ years in big data, and 1+ year in cloud computing (AWS preferred).

Preferred experience with distributed tools (Hadoop, Spark), NoSQL databases, real-time streaming, UNIX/Linux, and Agile practices.

Salary varies by location; role offers performance incentives and comprehensive benefits.