
1001 - 5000 employees
Founded 1983
đź Consulting
đŁ Marketing
âď¸ SaaS
Consulting ⢠Marketing ⢠SaaS
DATAGROUP is a leading provider of IT outsourcing and consulting services, offering a comprehensive range of solutions including cloud services, application management, and IT security. With a strong focus on customer satisfaction and standardized services, DATAGROUP ensures a seamless IT operation for companies by providing modular and customizable solutions such as the CORBOX. Based in Germany, the company's operations are certified for security and quality, making it a reliable partner for diverse industries, including finance and public sector.
đĽ 18 hours ago
đľđą Poland â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ Analytics Engineer
đť Ghost score 20%
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1001 - 5000 employees
Founded 1983
đź Consulting
đŁ Marketing
âď¸ SaaS
Consulting ⢠Marketing ⢠SaaS
DATAGROUP is a leading provider of IT outsourcing and consulting services, offering a comprehensive range of solutions including cloud services, application management, and IT security. With a strong focus on customer satisfaction and standardized services, DATAGROUP ensures a seamless IT operation for companies by providing modular and customizable solutions such as the CORBOX. Based in Germany, the company's operations are certified for security and quality, making it a reliable partner for diverse industries, including finance and public sector.
⢠Design and implement Python components for ETL processes ⢠Migrate ETL pipelines from IBM Datastage and Oracle to Python and PostgreSQL ⢠Extract data from various sources, transform it according to business rules, and load it into PostgreSQL databases ⢠Collaborate with data architects and stakeholders to understand data requirements ⢠Model data flows and define transformation logic ⢠Implement SQL queries, stored procedures, and functions in PostgreSQL ⢠Optimize ETL processes for performance, scalability, and resource usage ⢠Perform query tuning in PostgreSQL ⢠Build and maintain data validation and quality checks, including automated tests, reconciliation scripts, and alerting for data anomalies ⢠Monitor ETL jobs and database health ⢠Diagnose failures and performance issues and implement fixes or improvements ⢠Document ETL processes, data dictionaries, lineage, and operational runbooks ⢠Troubleshoot cross-system data issues ⢠Participate in incident response and provide root cause analysis and remediation plans ⢠Participate in code reviews, mentor junior developers, and improve team standards and best practices ⢠Contribute to technology refresh, legacy-system modernization, and cloud and open-source platform migration initiatives
⢠Good knowledge and several years of practical experience in Python development ⢠Solid skills in Postgres and SQL ⢠ETL experience is desirable ⢠Strong analytical skills ⢠A solution-oriented mindset ⢠Ability to work independently ⢠Experience in conceptual work ⢠Excellent understanding of data ⢠Independent and structured working style ⢠Very good command of English, both spoken and written ⢠Experience with IBM Datastage and Oracle ⢠Experience with data modeling, transformation logic, SQL queries, stored procedures, and PostgreSQL functions ⢠Experience with query tuning and ETL process optimization ⢠Experience building data validation and quality checks ⢠Experience monitoring ETL jobs and database health ⢠Experience documenting ETL processes, data dictionaries, lineage, and operational runbooks ⢠Experience troubleshooting cross-system data issues and participating in incident response ⢠Ability to participate in code reviews and mentor junior developers
⢠Flexible working hours ⢠Remote work options (Poland only) ⢠Open and cooperative corporate culture and a trusting working atmosphere ⢠Flat Hierarchies and Short Decision Paths ⢠Individual training opportunities ⢠Interesting technical challenges ⢠Social benefits
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