Azure Data Engineer (Washington) Job at Papigen, Washington DC

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  • Papigen
  • Washington DC

Job Description

Job Description

We are looking for a

Job Description

We are looking for a Data Engineer experienced in Azure Databricks , ADF , and PySpark to build and optimize ETL pipelines for a Data Lakehouse architecture.

Responsibilities

  • Build and maintain ETL processes using ADF, PySpark, Databricks
  • Convert Informatica ETL workflows to cloud
  • Ensure data quality, lineage, and performance
  • Create self-service data products using semantic layers
  • Work closely with data architects and business teams

Required Skills

  • 8+ years in data engineering
  • Strong skills in Databricks, PySpark, SQL, Azure
  • Experience in legacy ETL migration
  • Familiarity with financial risk datasets, data marts
  • Agile project exposure and strong problem-solving skills

Skills: problem solving,etl,azure databricks,adf,pyspark,semantic layers,data engineering,agile,azure data factory,informatica,sql

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Contract

Job function

  • Job function

    Information Technology
  • Industries

    IT Services and IT Consulting

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Job Tags

Full time, Contract work,

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