Data Engineer(Python, Databricks, SQL, AWS)

Job Description

Summary We are looking for a Data Engineer role. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development & demo and does not include handling or processing of sensitive health information. Your role in our mission Design, develop and deploy pipelines including ETL-processes using Apache Spark Framework. Monitor, manage, validate, and synthetic test data extraction, movement, transformation, loading, normalization, cleansing and updating processes in product development. Coordinates with the stakeholders to understand the needs and delivery with a focus on quality, reuse, consistency, and security. Collaborate with team-members on various models and schemas. Collaborate with team-members on documenting source-to-target mapping. Conceptualize and visualize frameworks Communicate effectively with various stakeholders. What We're Looking For Bachelor's degree in computer sciences or related field 3 years of relevant experience and equivalent education in ETL Processing/data architecture or equivalent. 3+ years of experience working with big data technologies on AWS/Azure/GCP 2+ years of experience in the Apache Spark/DataBricks framework (Python/Scala) Databricks and AWS developer/architect certifications a big plus Strong project planning and estimating skills related to area of expertise Strong communication skills Good leadership skills to guide and mentor the work of less experienced personnel Ability to be a high-impact player on multiple simultaneous engagements Ability to think strategically, balancing long and short-term priorities What You Should Expect In This Role Fast-paced, challenging and rewarding work environment. Work life balance. Remote working. Will required late evening work to overlap US work hours, whenever it is required.