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 achievementsResponsibilitiesDirect the architecture and continuous refinement of data integration solutions that keep pace with shifting business needsProvide mentorship and guidance to team members, promoting sound practices and dependable quality throughout data engineering effortsWork in close partnership with business stakeholders to convert their requirements into practical, effective technical approachesMonitor the reliability and stability of data pipelines, catching and addressing problems before they affect processes further downstreamPlay a role in planning and prioritization work, helping keep technical delivery in sync with wider project schedules and objectivesRequirementsAt least 3 years of applicable background working on Data Warehouse initiativesBackground designing, constructing, and sustaining data pipelines through Azure Data FactoryExperience delivering and integrating business intelligence solutions by way of Power BIDemonstrated skill in refining pipeline and transformation code on an ongoing basis to boost performance, scalability, and maintainabilityCapacity to grasp business requirements tied to data initiatives and convert them into workable technical solutionsBackground using front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular ModelsWorking knowledge of management tools and approaches, including JIRA, Agile methodology, and ServiceNowPractical experience with ETL tools, specifically Azure Data Factory and Azure SynapseStrong command of query languages, including MS SQL Server and Oracle PL/SQLFluent English communication skills at a B2 level or higherNice to haveBackground working with Azure Synapse Analytics to support data warehousing and analytics needsExposure to Salesforce Informatica, Snowflake, and dbt for handling data integration and transformation tasksWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.