About the Company You will join a growing team driven by innovation, experimentation, and a deep understanding of our customers. As a team member, you'll work closely with your cross-functional partners across Product Management, Data Engineering, and Platform Engineering as we build next-generation products. English Skills a MUST C1 or C2 only About the Role Support big data ingest efforts using Python. Contribute to all phases of the development life cycle. Be able to gather requirements and plan actionable tasks for the team. Collaborate with product, design, information security, and business team members to build data pipelines. Rapidly testing, iterating, and measuring features and growth opportunities. Demonstrating achieving stretch goals in a highly innovative and fast-paced environment. Responsibilities Support big data ingest efforts using Python Contribute to all phases of the development life cycle Be able to gather requirements and plan actionable tasks for the team Collaborate with product, design, information security, and business team members to build data pipelines Rapidly testing, iterating, and measuring features and growth opportunities Demonstrating achieving stretch goals in a highly innovative and fast-paced environment Qualifications 6 years of direct experience in related data engineering programs. Proven track record of building applications using Databricks. Proficiency with Python, Pytest, and PyCharm. Deep experience with cloud services, especially Azure. Experience designing and implementing highly performant data pipelines from multiple sources using Databricks. Experience taking large features from requirements to productions. Experience with Oracle and associated relational databases. Experience with transforming large datasets into Snowflake. Experience in communicating with other technical teams and senior management to collect requirements and describe software product features, technical designs, and product strategy. Preferred Skills Experience building and maintaining APIs in GraphQL and gRPC Pay range and compensation package Pay range based on experience and market rate