Data Engineer
2 weeks ago
Major Skillset :
SQL, PYTHON, PYSPARK, AWS
Responsibilities :
- Independently prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers.
- Designs proofofconcept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met.
- Designs and develops data solutions that enables effective selfservice data consumption and can describe their value to the customer.
- Collaborates with stakeholders in defining metrics that are impactful to the business.
- Has an indepth understanding of Agile techniques.
- Can set expectations for deliverables of high complexity.
- Can assist in the creation of roadmaps for data solutions.
- Influences strategic thinking across the team and the broader organization.
- Maintains proofofconcepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT.
- Working with IT, assists in building robust systems focusing on longterm and ongoing maintenance and support.
- Ensures data solutions include deliverables required to achieve high quality data.
- Displays a strong understanding of complex multitier, multiplatform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work.
- Has an indepth understanding of Business Intelligence tools, including visualization and user experience techniques.
- Can set expectations for deliverables of high complexity.
- Works with IT to help scale prototypes.
- Demonstrates a comprehensive understanding of new technologies as needed to progress initiatives.
Requirements :
- Expertise in Python programming, with demonstrated realworld experience building out data tools in a Python environment.
- Expertise in AWS Services , with demonstrated realworld experience building out data tools in a Python environment.
- Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred.
- 4+ years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, Python and Spark.
- 4+ years' experience as developer working in an AWS cloud computing environment.
- 4+ years' experience using GIT or Bitbucket.
- Experience with Redshift, RDS, DynamoDB is preferred.
- Strong written and oral communication skills required.
- Experience in healthcare industry with healthcare data analytics products
- Experience with healthcare vocabulary and data standards (OMOP, FHIR) is a plus
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