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Senior Data Engineer – Dataiku & Full Stack Integration

Summary

Build and integrate data pipelines, ETL workflows, and full-stack solutions using Dataiku, SQL Server, Python, and React.js for an information services company.

Senior Data Engineer – Dataiku & Full Stack Integration

Role Description

  • Experience with SQL Server Back-End development including: SQL Scripts, Stored-Procedures, Dynamic Stored-Procedures
  • Experience development Python scripts and libraries
  • Experience with Agile development, GitHub, SSMS, Dataiku
  • Experience working with databases such as SQL Server, HDFS
  • Experience with DBMS Data Modelling, ERD, Data Pipelines and DQ rules Implementation
  • Experience to Implement complex logic from Business Requirements using both SQL Stored Procedures and/or Python
  • Experience to produce Architecture Design and Technical documents for all Layers such as Front-End UI, API End Points, and Back-End Stored Procedures.
  • Nice-to-have Experience ETL Work Flow and Python/SQL and Dataiku Recipes using Dataiku Platform
  • Experience designing front-end solutions with React.js, OpenShift, API End-Points (APIGEE)
  • Experience with HR systems & workflow management tools such as Workday, SAP, ServiceNow
  • Experience developing Tableau Dashboard and reusable Work Books.
  • Good knowledge of API Endpoints development using Python Language.
  • Competencies: Big Data and Hadoop Ecosystems, Python, ReactJS, PL/SQL
  • Experience (Years): 8-10

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Information Services

We’re removing boilerplate and recruiting noise to present this role clearly. If you are a strong candidate for data engineering with Dataiku and full stack integration, apply to be considered for this opportunity.

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