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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL, PL/SQL, and ETL processes, with a strong focus on data warehouse design and implementation. Proficient in data modeling, performance tuning, and utilizing tools like ODI and Databricks for effective data engineering.
Highest-signal resume keywords
SQLPL/SQLETL ProcessesData ModelingData Warehouse Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSource System AnalysisETL ProcessesSQLPL/SQLPythonPySparkDatabase DesignPerformance TuningData Profiling
Soft Skills
Fast Learner
Tools & Technologies
ODIDatabricksData Visualization ToolsAgile–Scrum Methodology
Industry Keywords
Banking SectorData Warehouse ConceptsLarge Scale Databases
Tech Stack
Tools & technologiesETLOraclePySparkPythonSQL
About the role
Key responsibilities & impact- Collaborates with business stakeholders and IT application owners to understand, document, and design data warehouse processes.
- Contributes to the definition, development, and implementation of data warehouse solutions.
- Creates and maintains data mapping logic to transfer content from various source systems into the data warehouse.
- Designs, develops, tests, optimizes, and deploys ODI packages, Oracle stored procedures/packages, Databricks jobs to perform ETL functions.
- Plans and coordinates ETL and database rollouts alongside project teams, developers, and database engineers.
- Provides support, maintenance, troubleshooting, and resolution for ETL processes.
- Designs and establishes technical frameworks for the data warehouse.
Requirements
What you’ll need- Experience in Data Modelling and Source System Analysis.
- Expert in SQL and PL/SQL.
- Experienced with ETL processes and tools such as ODI or other ETL technologies, as well as working with largescale databases.
- Skilled in Python for data engineering purposes.
- Familiar with PySpark.
- Capable of performing data profiling, cataloging, and mapping for the design and construction of data flows.
- Experience with data visualization and exploration tools.
- Solid understanding of data warehouse concepts.
- Skilled in database design, modelling, and analyzing large datasets.
- Exposure to diverse configurations, technologies, and processing environments.
- Proficient in advanced performance tuning techniques for complex data transformations.
- Experience within the banking sector is advantageous.
- Fast learner, able to master the functionalities and applications of new technologies.
- Familiarity with Agile–Scrum methodology is a plus.
- Proficient in English
Benefits
Comp & perks- Premium medical package
- Lunch Tickets & Pluxee Card
- Bookster subscription
- 13th salary/yearly bonuses
- Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational
- A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities
- Flexible working program and openness to remote work
- Collaborative mindset – employees shape their own benefits, tools, team events and internal practices
- Diverse opportunities in Software Development with international exposure
- Flexibility to choose projects aligned with your career path and technical goals
- Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud)
- Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary