Lead Data Engineer (Python, AWS, Snowflake)

Seeking a Lead Data Engineer experienced in Python, AWS, and Snowflake to build scalable, low-latency data pipelines and streaming platforms.

Lead design and development of enterprise-level data solutions using technologies like Spark, Flink, Kafka, and cloud services such as EMR, S3, and Iceberg.

Collaborate with cross-functional teams to implement best practices in data architecture, processing structured and unstructured data, and ensure application resiliency.

Mentor team members, share knowledge of emerging tech trends, and participate in agile development cycles with a focus on CI/CD.

Work on real-time data streaming applications, influence data pipeline design, and support analytics transformation for business impact.

Basic qualifications include 4+ years in application development, 2+ years in big data, and 1+ year in cloud computing. Preferred experience encompasses Java, Python, SQL, Kafka, Snowflake, and AWS services.

Compensation varies by location, with benefits supporting total well-being. No sponsorship or agency applications accepted.