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Lead Data Engineer @ Atyeti

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 Lead Data Engineer

Job Description

Knowledge/Experience

  • Proven knowledge of physical and logical data modelling in a data warehouse environment including the successful creation of conformed dimensional models from a range of legacy source systems alongside modern SaaS/Cloud business applications
  • Experience within a similar role within insurance (ideally health insurance) or similar complex and regulated industry, and able to demonstrate a sound working business knowledge of its operation.
  • Experienced at capturing technical and business metadata including being able to elicit and create sound definitions for entities and attribute.
  • Practiced and able to query data from source or raw data and reverse engineer an underlying data model and data definitions.
  • Experienced in writing scripts for data transformation using SQL, DDL, DML, and Pyspark.
  • Good knowledge and exposure to software development lifecycles and good engineering practices
  • Can demonstrate a good working knowledge of data modelling patterns and when to use them.

Technical skills

  • Entity relationship, dimensional, and NOSQL modelling as appropriate to data warehousing, business intelligence, and analytical approaches using IE or other common notations.
  • SQL, DDL, DML, and Pyspark scripting
  • ERWIN, and Visio data modelling/UML tool
  • Ideally, Azure Data Factory, Azure Dev Ops, and Databricks

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Atyeti
Location(s): Pune

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Keyskills:   Pyspark ETL ERwin SQL Data Bricks Python

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