Senior Data Integration Engineer
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