• Ensure smooth operations of production data assets and monitor production systems for incidents. • Alert applicable parties and manage incident triaging and resolution. • Administer and analyze system issues and negotiate action for resolution. • Support workflow solutions and troubleshoot user errors. • Utilize system monitoring utilities for availability monitoring. • Create availability scorecards and reports from monitoring data. • Continuously monitor IT systems for optimal performance and availability. • Regularly monitor production data assets and alert on issues. • Collaborate with data team for issue identification, diagnosis, and resolution. • Manage incidents and document resolutions for reference. • Analyze recurring issues and implement long-term solutions. • Maintain documentation on processes, configurations, and troubleshooting. • Provide support to data teams and stakeholders. Identify opportunities to optimize data production processes.

• Assist in designing, building, and maintaining ETL/ELT data pipelines • Support data ingestion from internal and external data sources • Help maintain and improve data warehouse structures and data models • Ensure data quality through validation, testing, and monitoring processes • Support analytics and BI use cases by preparing clean, well-documented datasets • Collaborate with senior engineers and stakeholders to understand data requirements • Contribute to documentation and continuous improvement of the data platform • Follow software engineering best practices including version control, testing, and CI/CD

• You will build the SAP consulting team in Lithuania, focusing on data migration and transformation architecture in SAP S/4HANA programs for major industrial and manufacturing customers. • You are responsible for designing, governing, and executing SAP data strategy and migration architecture, ensuring data quality, consistency, and integrity across multiple business domains. • You advise customers on implication of structural transformation in the respecting process analyses and data areas as well as on data migration architecture, data models, tools, and methodologies — bridging functional and technical perspectives. • You manage end-to-end data migration activities, from scoping and extraction to transformation, validation, and load into S/4HANA systems. • You collaborate closely with functional consultants, business stakeholders, and technical teams to ensure a smooth and reliable transition from legacy systems to S/4HANA. • You will be seamlessly embedded in the SAP DACH organization with 4 competence centers and their experienced and collaborative consultants. • You will report to the team Lead for SAP Lithuania, which belongs functionally to the portfolio “SAP Transformation” and work in close alignment with the SAP consulting organization.

• Analyze and interpret complex data Ability to identify data anomalies and resolve data issues. • Understand specific business processes and domain concepts and relate them to data subject domains. • Optimize SQL queries, scripts, and stored procedures in Snowflake and SQL Server to improve efficiency and reduce processing time. • Integrate and manage data from various sources, ensuring data quality, reliability, and performance • Design, develop, and maintain scalable and high-performance ETL pipelines using Matillion ETL to ingest, transform, and load data into Snowflake. • Monitor data pipeline and ETL performance, identifying bottlenecks and making necessary adjustments to ensure optimal system performance. • Perform troubleshooting and root cause analysis to resolve data issues and prevent future occurrences. • Develop and implement data models within Snowflake to support business intelligence and analytics requirements. • Collaborate with Data Leads, Product Managers and QA Engineers to validate requirements, participate in user requirement sessions. • Perform tests and validate data flows and prepare ETL processes according to business requirements. • Perform ETL tuning and SQL tuning. • Ability to document data flows representing business logic in ETL routines. • Design and implement data conversion strategy from legacy to new platforms. • Perform design validation, reconciliation, and error handling in data load processes. • Design and prepare technical specifications and guidelines including ER diagrams and related documents.