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Senior Data Engineer New
hace 35 minutos
About NEORIS:
NEORIS, now part of EPAM, is a Digital Accelerator that helps companies step into the future. With more than 20 years of experience as Digital Partners to some of the world's most important organizations, we are over 4,000 professionals across 11 countries. We foster a multicultural, startup-like culture that promotes innovation, continuous learning, and the creation of high-impact solutions for our clients.
We are looking for: Senior Data Engineer
Key Responsibilities:- Design, build, and maintain robust and scalable data pipelines from multiple sources, ensuring high standards of data quality, availability, and performance.
- Lead the end-to-end ingestion of financial datasets, including long and short position holdings data, as well as derived datasets.
- Analyze internal data processes to identify inefficiencies and propose and implement technical improvements and innovative workflow solutions.
- Define and develop conceptual, logical, and physical data models for raw and enriched data, aligned with FAIR data principles.
- Collaborate cross-functionally with IT, Product, and other key teams to align data strategy with business objectives.
- Contribute to defining the data and technology roadmap, ensuring fit-for-purpose data products.
Must have:
6+ years of experience as a Data Engineer in complex corporate environments; experience in banking or financial services is highly valued.
Advanced proficiency in Python, SQL, and Spark (PySpark).
Strong experience designing and implementing high-volume, low-latency ETL pipelines.
Solid understanding of data modeling principles (conceptual, logical, and physical).
Hands-on experience working with cloud platforms.
Proven knowledge of financial products, particularly Treasury Products (FX, derivatives, onshore and offshore trade products, offshore loans).
Nice to have:
- Prior experience with banking systems architecture.
- Participation in technology projects within the banking sector.
- Experience in data process automation and data governance initiatives.
- Knowledge of data alignment strategies and data product design.
- Permanent contract with a competitive salary
- Flexible working model with remote work options
- Personalized career path and continuous learning (certifications, English training, etc.)
- Participation in stable projects with a strong technical focus
- Flexible working hours with an emphasis on work-life balance
- Social benefits tailored to your needs
Get to know us at , Facebook, LinkedIn, Twitter, or Instagram: @NEORIS.
Mercedes Manzano
LI-MM1