Senior Data Engineer

2 Months ago • 2 Years + • Data Analyst

Job Summary

Job Description

This Senior Data Engineer role involves working on a project for a Fortune Global 500 company. Responsibilities include implementing business logic in a Data Warehouse, performing business analysis to ensure data relevance, converting business requirements into data models, managing ETL pipelines in Azure Data Factory, optimizing loading and query performance, migrating data from Azure Synapse to Databricks, and collaborating with senior client staff. The ideal candidate will have experience with database systems (MS-SQL/T-SQL, Synapse SQL), Azure DevOps, Data Factory pipelines, data warehousing, dimensional modeling, DBT, and Databricks. Strong SQL skills and Agile experience are essential. Ukrainian language proficiency is required.
Must have:
  • 2+ years database development (MS-SQL/T-SQL, Synapse SQL)
  • High-performing SQL code & performance tuning
  • Azure DevOps & Data Factory pipeline creation/maintenance
  • Data warehousing/dimensional modeling
  • Agile project experience
  • DBT & Databricks experience
  • Upper-intermediate English
Good to have:
  • Supply Chain/Logistics experience
  • SAP MM Data structures knowledge
Perks:
  • Flexible working format
  • Competitive salary & benefits package
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Corporate events

Job Details

We are looking for a  Senior Data Engineer for one of our projects. The Client is among the top 100 of Fortune’s Global 500 companies, a leading global supplier of technology and services (Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology).
You’ll have a chance to improve the quality of life worldwide with products and services that are innovative and spark enthusiasm.
You are going to be involved in operations of leading department which is responsible for providing all the relevant data for logistics and supply chain.

 

Responsibilities:

  • Implementation of business logic in Data Warehouse according with the specifications
  • Some business analysis required to enable providing the relevant data in a relevant manner
  • Conversion of business requirements into data models
  • Pipelines management (ETL pipelines in Data Factory)
  • Loadings and query performance tuning
  • Migrating from Azure Synapse to Databricks
  • Working with senior staff on the customer's side who will provide requirements while engineer may propose some own ideas

 

Requirements:

  • 2+ years of experience in development of data base systems (MS-SQL/T-SQL, Synapse SQL)
  • Writing well performing SQL code and investigating & implementing performance measures
  • Experience in creation and maintenance of Azure DevOps & Data Factory pipelines
  • Data warehousing / dimensional modeling
  • Working within an Agile project setup
  • Developing robust data pipelines with DBT
  • Experience with Databricks
  • Upper-intermediate English level
  • Ukrainian language - Advanced or higher

Would be a plus:

  • Previous working experience in Supply Chain & Logistics
  • Knowledge of SAP MM Data structures

   

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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