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Data Engineer

Roles & Responsibilities

  • Strong Python experience focused on data engineering (not application development); ability to translate business logic into dataframes
  • Prior experience in the healthcare/insurance domain
  • 5-10+ years of experience in Insurance/Healthcare or related field
  • Proven ETL/data integration experience, data warehouse lifecycle, and legacy-to-ELT conversion (Data Stage/SAS Logic to PySpark/SQL)

Requirements:

  • Translate business logic into dataframes and build data pipelines using Python, focusing on data engineering
  • Leverage Data Stage/SAS knowledge to convert legacy logic to modern ELT using PySpark/SQL; contribute to ETL development and testing
  • Work with SQL Server and perform independent data querying and analysis to ensure data quality and integrity
  • Collaborate with cross-functional teams and stakeholders; contribute to data warehouse design, requirements, and documentation; support cloud migration efforts (GCP) if applicable

Job description


About Us:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!!

Job description:

Role – Data Engineer

Location – 100% Remote

Duration – 12+ Months

Client – Client

Must Have

· Client is looking for for Data Engineers, who have to be data focused, not developers.

· Know how to convert business logic into dataframe, must have strong Python experience.

· Must have prior experience within healthcare insurance.

Below is the technology stack, candidates have to have the experience below .

Top Skills' Details

· Python Experience required - must be data focused not developers: know how to convert business logic into dataframes

· 5-10+ years in relevant business field (Insurance / Healthcare)

· This is going to be more Python, with datastage ideally. An absolute plus would be if they have done a gcp cloud conversion on data warehouse but given the rate that I probably doubtful.

· Proven experience in understanding business logic embedded in legacy technologies (such as Data Stage, SAS Logic) and have code conversion experience to modern ELT logic (such as Pyspark / SQL Stored Procedures)

· Proven experience with major Database systems preferably SQL Server

· Strong SQL background... Must be able to independently query and analyze data

· Good understanding / Working experience with Tableau / Hadoop Technologies

· ETL project experience. Must have direct engineering / data processing experience in at least 3 data integration projects which must include experience developing requirements and specifications for ETL code. Ideally full Life Cycle Experience in Data Warehouse implementation projects.

Plus: cloud conversion to GCP

· Strong understanding of software architecture and programming principles to provide guidance to internal staff and end users in the process of designing data integration solutions to solve business challenges

· Excellent problem-solving and analytical skills, including ability to reach cross-functional agreements

· Good understanding / Working experience with Tableau / Hadoop Technologies



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