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Urgent! Data Engineer(Python, Databricks, SQL, AWS) Job | Gainwell Technologies

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.

  • Required Skill Profession

    Computer Occupations



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