Senior Data Integration Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a self-driven and experienced Senior Data Integration Engineer to join our dynamic team, working closely with cross-functional stakeholders to deliver high-quality, scalable data solutions. As a member of the Data Engineering chapter embedded within a high-performing squad, you will play a pivotal role in integrating and managing data to enable critical business processes.
Responsibilities
- Collaborate with the Product Owner, Scrum Master, Subject Matter Experts, and Development team to define, analyze, and refine user stories tracked in Jira
- Design, develop, and implement robust software solutions using a modern technology stack to meet LMI Tech's business needs
- Represent the Data Engineering chapter during technical discussions and ensure timely delivery of high-quality data solutions
- Support and configure data integration pipelines to ensure seamless data flows and address business requirements
- Demonstrate solutions and articulate their business value to stakeholders during sprint showcases
- Engage in troubleshooting, optimizing, and maintaining existing data solutions to address production issues and improve system performance
- Contribute to scalability, reliability, and performance improvements of data pipelines, storage solutions, and models
Requirements
- Bachelor’s degree in a technical discipline or equivalent professional experience
- 3+ years of experience as a Data Engineer working in professional environments
- Residence in Ukraine (remote work eligible only for candidates based in Ukraine)
- Knowledge of investment financial data to support application integrations with trading platforms and reporting
- Background in Agile Scrum frameworks and experience working in scaled Agile teams
- Expertise in SQL including programming views, stored procedures, and functions
- Expertise in Data Modeling and advanced competency in DWH and Snowflake
- Proficiency in Python with ETL tools such as Pandas/NumPy, including Python unit testing
- Proficiency in AWS resources and ecosystem, particularly with integration tasks
- Skills in CI/CD processes using tools like Bitbucket/GitHub and Bamboo, including pipeline development and maintenance
- Familiarity with business intelligence tools and reporting solutions
- Capability to demonstrate a proactive, team-oriented mindset with a commitment to delivering value through iterative development
- English language proficiency at an Upper-Intermediate level (B2) or higher
Nice to Have
- Understanding of financial systems, general ledger accounting, or investment reporting
- Showcase of experience with financial systems in investment accounting or general ledger systems
- Background in integrating large-scale financial investment/ERP systems like Investment Management Warehouse or similar
- Demonstrated expertise delivering data solutions using AWS resources (S3, Glue, Athena, Lambda), Snowflake, SnapLogic, and orchestration tools
- Familiarity with Agile software development practices including sprint planning, story sizing, and retrospectives
We Offer
- Opportunity to work in a dynamic and innovative environment
- Be part of a high-performing team focused on delivering impactful data solutions
- Competitive compensation package
- Flexible remote work options
About the Company
[Company description if present]
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EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.