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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering with a strong focus on Python, SQL, and ETL processes. Capable of developing and optimizing data pipelines while ensuring data quality and compliance within financial services or banking environments.
Highest-signal resume keywords
Data Engineering ExperiencePython DevelopmentSQL Data AnalysisETL Process DevelopmentBig Data / DataLake Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLETL ProcessesData ModelingData AnalysisData ValidationData TransformationData IngestionBatch ProcessingControl-M
Tools & Technologies
AtotiActiveViamDatabricksREST APIsMicroservicesJiraConfluence
Industry Keywords
Financial ServicesBankingCounterparty RiskLimits Concepts
Tech Stack
Tools & technologiesETLMicroservicesPythonSQL
About the role
Key responsibilities & impact- Analyze and understand existing data models, data flows and transformation processes
- Understand existing datasets, mappings and dependencies within the DataLake
- Develop, maintain and optimize Python processes, ETLs and data pipelines
- Build and maintain Control-M jobs and batch processing workflows
- Implement data ingestion, transformation and processing logic
- Develop and adapt data models and datasets required for the Limits solution
- Perform SQL-based data analysis, validation and reconciliation across multiple data sources
- Implement data quality controls and investigate and resolve data inconsistencies
- Support testing, certification, deployment and production releases
- Create and maintain technical documentation covering data models, processes, mappings and transformations
- Collaborate with technical and functional teams to ensure data solutions meet business and technical requirements
Requirements
What you’ll need- 2+ years of professional experience in Data Engineering, Big Data or similar environments
- Solid experience with Big Data / DataLake architectures
- Strong SQL skills for querying, analysis and data validation
- Hands-on experience with Python
- Experience developing ETL processes
- Knowledge of data ingestion and transformation processes
- Experience developing and maintaining data pipelines
- Good understanding of data modeling concepts
- Experience with Control-M and/or batch processing
- Strong skills in data analysis, validation and reconciliation
- English level B2 or above
- Atoti / ActiveViam, Databricks, REST APIs and Microservices, Jira / Confluence, financial services or banking environments, and Counterparty Risk / Limits concepts are considered a plus
Benefits
Comp & perks- B2B or employment contract
- Remote within CET Time zone
- Possibility to be part of a multicultural team
- Work on international projects