Senior Data Engineer — Azure Databricks & Delta Lake

Location: New York

• Belgrade
• Cluj-Napoca
• Dnipro
• Krakow
• Kyiv
• Larnaca
• Lublin
• Lviv
• Remote.
  
  Bulgaria
• Remote.
  
  Poland
• Riga
• Sofia
• Warsaw
• Wroclaw

Hot vacancy Small team (1-10 people)

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Client Client is a premier home improvement company, boasting a network of over 2,000 stores across eight European countries. You'll be part of an organization that values innovation and teamwork, where you contribute to the company's success, not just a single project.

Join a great company, not merely an individual project

Project overview Project overview

Working in cross functional team using Agile framework to design, build and maintain home improvement solution. Team Team As a Senior Data Engineer, you'll integrate into a dynamic data engineering team led by an experienced Data Lead. Your new team is a blend of talented Data Engineers, Data Designers, meticulous QA experts, and an agile Scrum Master, all dedicated to building exceptional data solutions.

Position overview Position overview

Data Engineer will offer engineering support and deliver data insights through the collection, analysis, and summarization of development and service issues. Your expertise will help steer the direction of our data strategies and ensure the highest quality in our technology offerings. Responsibilities

• Design, build, and maintain ETL processes, transforming raw data into actionable insights
• Manage and optimize large-scale data pipelines, ensuring data quality and integrity
• Develop and optimize SQL queries for efficient data extraction, transformation, and analysis
• Collaborate with cross-functional teams to understand data requirements and implement effective data solutions
• Utilize Python and PySpark for data engineering tasks, including scripting and automation
• Leverage Azure Databricks for advanced data processing and analytics
• Monitor, troubleshoot, and optimize data workflows to ensure high performance and reliability

Requirements

• Proven experience as a Data Engineer in a professional, production environment
• Strong programming skills in Python and solid understanding of ETL processes
• Advanced proficiency in SQL and experience working with large datasets
• Hands-on experience with Azure Databricks and Azure Data Factory (ADF)
• Solid understanding of data modeling, data warehousing concepts, and performance tuning
• Strong expertise in Databricks, including Delta Tables and Delta Live Tables
• Advanced programming skills in Python and Py Spark
• Experience with Unity Catalog
• Proficiency in dbt (Data Build Tool)
• Solid knowledge of Medallion Architecture

Nice to have

• Experience with data governance and data cataloging tools
• Familiarity with CI/CD practices and version control systems (Git)
• Understanding of data security and privacy best practices
• Experience with additional cloud services or platforms

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We offer Vacation

As per the laws of your country. We do ask you to take a proper rest

Health insurance

We help you to take out an insurance policy for you and your loved ones

According to the official calendar, regardless of the client’s schedule

Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract

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