Experience: from 4 years of previous experience in technology-related projects.
Technical Knowledge:
Advanced level in SQL statements.
Consolidated experience in ETL design and Data Models.
Experience in process planning via Job as Code and monitoring with Control-M.
Testing and Validation: Demonstrable experience in the execution and validation of integrated data tests.
Management: Experience in people supervision and operational task management.
Sector Expertise: Experience in the banking sector, preferably in the field of Market Risk.
Languages: English level B2 / C1.
Nice to have
Technical knowledge or notions of programming in Scala and Spark / Hadoop platforms.
Knowledge of financial products and market risk metrics.
The role
At Ad4Octógono we are hiring a Data Engineer / Functional Data Analyst to join the Markets Datahub in the Market Risk area.
We are looking for a technical-functional profile focused on the definition, management, and automation of processes on Big Data architectures (Spark Scala), with the ability to coordinate teams and supervise deliverables. (Note: The primary role is not that of a pure Spark Scala developer, but rather analytical/functional definition, flow architecture, and orchestration).
What you'll do
Big Data Process Definition: Functionally design and structure processes and ETLs within the Markets Datahub on a Spark Scala environment.
Data Preparation and Modeling: Carry out the modeling, preparation, and validation of datasets required for Market Risk management.
Automation and Deployment (Job as Code): Manage and process the opening of requests following the area's methodologies for the configuration and automation of processes through software deployments via Job as Code.
Testing and Integration: Design, execute, and validate integrated tests for data quality and automation functionality.
Team Management and Supervision: Lead and monitor team tasks and supervise the work of third parties.
How you'll work
Location: Available at any of the company's sites/offices.
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