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Senior Data Integration Engineer

Hybrid in Ukraine

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
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