DataStage Developer
⚲ WARSAW, Gdynia, Gdańsk, Łodź
21 840 - 27 720 PLN (B2B)
Wymagania
- Python
- DataStage
Opis stanowiska
O projekcie:
As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:
Senior Data Engineer (ETL / Big Data)
Wymagania:
Requirements:
- Hands-on experience with DataStage and Python for data transformation and ETL development- Strong experience working with Oracle SQL- Experience integrating and processing data from Kafka, XML, and other structured data sources- Experience working in Agile environments and using Jira for work management- Strong IT background with knowledge of data integration, ETL processes, Python, DataStage, Kubernetes, and full-stack environments- Strong analytical and problem-solving skills- Ability to work effectively in a collaborative, cross-functional environment- Fluent English, both written and spoken
Nice to have:
- Experience working in financial institutions, preferably within trading environments- Knowledge of risk and compliance processes- Experience with Actimize solutions and implementations- Familiarity with market surveillance, compliance monitoring, or regulatory reporting solutions
Codzienne zadania:
- Design, develop, and maintain ETL processes supporting Market Abuse Surveillance and Compliance solutions
- Build and test data transformation workflows using DataStage and Python
- Develop and maintain data integration solutions that collect information from multiple sources, including Kafka, XML files, and database links
- Transform and prepare data in accordance with required output file structures and business requirements
- Deliver daily data feeds for a third-party SaaS platform used for market abuse surveillance
- Analyze, validate, and reconcile data to ensure accuracy, completeness, and regulatory compliance
- Collaborate with Compliance, Surveillance, and IT teams to support implementation and enhancement of monitoring processes
- Perform ETL testing, troubleshooting, and defect resolution across data integration workflows
- Participate in Agile ceremonies and project delivery activities using Jira
- Support onboarding of new data sources and implementation of additional reporting and surveillance requirements
- Contribute to continuous improvement of ETL processes, automation, and data quality controls
- Provide production support for data processing and integration-related issues
As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:
Senior Data Engineer (ETL / Big Data)
Wymagania:
Requirements:
- Hands-on experience with DataStage and Python for data transformation and ETL development- Strong experience working with Oracle SQL- Experience integrating and processing data from Kafka, XML, and other structured data sources- Experience working in Agile environments and using Jira for work management- Strong IT background with knowledge of data integration, ETL processes, Python, DataStage, Kubernetes, and full-stack environments- Strong analytical and problem-solving skills- Ability to work effectively in a collaborative, cross-functional environment- Fluent English, both written and spoken
Nice to have:
- Experience working in financial institutions, preferably within trading environments- Knowledge of risk and compliance processes- Experience with Actimize solutions and implementations- Familiarity with market surveillance, compliance monitoring, or regulatory reporting solutions
Codzienne zadania:
- Design, develop, and maintain ETL processes supporting Market Abuse Surveillance and Compliance solutions
- Build and test data transformation workflows using DataStage and Python
- Develop and maintain data integration solutions that collect information from multiple sources, including Kafka, XML files, and database links
- Transform and prepare data in accordance with required output file structures and business requirements
- Deliver daily data feeds for a third-party SaaS platform used for market abuse surveillance
- Analyze, validate, and reconcile data to ensure accuracy, completeness, and regulatory compliance
- Collaborate with Compliance, Surveillance, and IT teams to support implementation and enhancement of monitoring processes
- Perform ETL testing, troubleshooting, and defect resolution across data integration workflows
- Participate in Agile ceremonies and project delivery activities using Jira
- Support onboarding of new data sources and implementation of additional reporting and surveillance requirements
- Contribute to continuous improvement of ETL processes, automation, and data quality controls
- Provide production support for data processing and integration-related issues
🔍 Dekoder Ogłoszenia
🔴
Strong IT background with knowledge of data integration, ETL processes, Python, DataStage, Kubernetes, and full-stack environments
Choć wymieniono wiele technologii, kluczowe jest faktyczne doświadczenie w DataStage i Pythonie, a reszta może być tylko ogólną wiedzą.
🟡
Ability to work effectively in a collaborative, cross-functional environment
Oznacza to, że będziesz musiał współpracować z wieloma różnymi zespołami i osobami, co może wymagać dobrej komunikacji i umiejętności adaptacji.
🟡
Design, develop, and maintain ETL processes supporting Market Abuse Surveillance and Compliance solutions
Praca będzie skupiona na specyficznych, często regulowanych obszarach finansowych, co może oznaczać bardziej restrykcyjne procesy i wymagania.
🔴
Experience working in financial institutions, preferably within trading environments
To 'nice to have' jest silnie sugerowane i może być kluczowe dla wyboru kandydata, nawet jeśli nie jest to formalny wymóg.