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EPAM Systems

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Senior Data Integration Engineer

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Description

Our team is looking to bring on board a highly capable Senior Data Integration Engineer. This position plays a crucial part in making sure data moves dependably between systems so that sound business decisions can be made. You'll operate in a team-based atmosphere where technical guidance and practical troubleshooting work together closely. This represents a valuable chance for someone eager to leave a real mark on how data shapes the organization's achievements

Responsibilities

  • Direct the architecture and continuous refinement of data integration solutions that keep pace with shifting business needs
  • Provide mentorship and guidance to team members, promoting sound practices and dependable quality throughout data engineering efforts
  • Work in close partnership with business stakeholders to convert their requirements into practical, effective technical approaches
  • Monitor the reliability and stability of data pipelines, catching and addressing problems before they affect processes further downstream
  • Play a role in planning and prioritization work, helping keep technical delivery in sync with wider project schedules and objectives

Requirements

  • At least 3 years of applicable background working on Data Warehouse initiatives
  • Background designing, constructing, and sustaining data pipelines through Azure Data Factory
  • Experience delivering and integrating business intelligence solutions by way of Power BI
  • Demonstrated skill in refining pipeline and transformation code on an ongoing basis to boost performance, scalability, and maintainability
  • Capacity to grasp business requirements tied to data initiatives and convert them into workable technical solutions
  • Background using front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models
  • Working knowledge of management tools and approaches, including JIRA, Agile methodology, and ServiceNow
  • Practical experience with ETL tools, specifically Azure Data Factory and Azure Synapse
  • Strong command of query languages, including MS SQL Server and Oracle PL/SQL
  • Fluent English communication skills at a B2 level or higher

Nice to have

  • Background working with Azure Synapse Analytics to support data warehousing and analytics needs
  • Exposure to Salesforce Informatica, Snowflake, and dbt for handling data integration and transformation tasks

Benefits

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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