Senior/Lead Data Engineer

Reposted Yesterday
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2 Locations
Remote
Senior level
Information Technology • Software
The Role
The Senior Data Engineer will design and optimize ETL/data pipelines, automate workflows, integrate data sources, and translate business needs into data solutions using Azure tools.
Summary Generated by Built In

We are looking for a seasoned Data Engineer to join our growing team.

Requirements
  • 4+ years of experience in Data Engineering.
  • Proven experience building and optimizing scalable ETL/data pipelines, preferably on Azure Databricks
  • Experience with Azure Data Factory, Databricks, and PySpark
  • Solid experience integrating multiple data sources into data lakehouse / data warehouse architectures
  • Strong SQL skills, including designing data models and SQL Warehouse views
  • Experience translating business requirements into scalable and reliable data solutions/products
  • Experience working with cloud-based data platforms (preferably Azure)
  • Strong problem-solving skills with the ability to troubleshoot and optimize data pipelines
  • Understanding of data quality, performance optimization, and reliability best practices
  • Experience working in cross-functional teams and delivering data solutions in a timely manner
Responsibilities
  • Design, build, and optimize scalable ETL/data pipelines on Azure Databricks
  • Automate data workflows using Azure Data Factory, Databricks, PySpark, and related Azure services
  • Integrate diverse data sources into data lakehouse and data warehouse solutions to enable advanced analytics
  • Design SQL Warehouse views and data models for downstream consumption and analytics use cases
  • Translate complex business requirements into scalable, reliable data products
  • Enhance, troubleshoot, and maintain cloud‑based data pipelines to ensure performance, reliability, and data quality
  • Collaborate with cross‑functional teams and contribute to timely delivery of data solutions
What we offer
  • Flexible work arrangements.
  • 20 working days per year as Non-Operational Allowance for personal recreation, fully compensated.
  • Collaborative and supportive team culture.
  • Truly competitive salary.
  • Supportive HR and management team.

Skills Required

  • 4+ years of experience in Data Engineering
  • Proven experience building and optimizing scalable ETL/data pipelines
  • Experience with Azure Data Factory, Databricks, and PySpark
  • Strong SQL skills, including designing data models
  • Experience translating business requirements into data solutions/products
  • Experience working with cloud-based data platforms
  • Strong problem-solving skills with the ability to troubleshoot data pipelines
  • Experience working in cross-functional teams
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The Company
Kharkiv, Kharkiv
294 Employees

What We Do

Globaldev Group provides end-to-end software development services and builds skillful teams of specialists to fuel your business’ growth. Leveraging our extensive 12-year background and deep industry knowledge, we have established ourselves as a reliable partner for numerous enterprises, SMEs, and startups. Globaldev Group is an ISO/IEC 27001 certified company. ▪️️ Global Teams ▪️ Globaldev offers R&D team extensions to both emerging technology companies and global corporations. Empowered by our global talent pool, we excel at connecting our clients with high-skilled specialists. Hiring, onboarding, and continuous management are all included in our comprehensive set of services, enabling our clients to quickly scale their teams and achieve their product development and implementation goals. ▪️ Global Engineering ▪️ - Obtain a custom-designed solution from scratch - Scale or enhance your current software infrastructure - Stay ahead with the latest cutting-edge technologies - Access a comprehensive range of services from a single vendor As a full-stack development company, we are equipped to fulfill all your business requirements. Whether it's product discovery, proof of concept, UX design, or development, Globaldev serves as your all-in-one solution provider.

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