Databricks Engineer

Databricks Engineer Job Locations US-NY-New York ID 2024-2143 Category Consulting Type Project-Based Employee Overview Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services.

We provide data-driven, technology-enabled advisory, implementation, and staffing solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients.

Founded in 2005, Treliant is headquartered in Washington, DC, with offices in New York, London, Belfast, Northern Ireland and Łódź, Poland. For more information visit www.treliant.com .

Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, genders, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual's worldview, experiences and system of beliefs (“the principles”).

We believe in championing every voice and ensuring everyone’s full potential. Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank.

Successful candidates will work among a mixture of bank and Treliant staff in a hybrid role in the Greater New York City metro area. --- Primary Location: Hybrid - Greater New York City metro area Primary Location Salary Range: $160,000 - $200,000 Responsibilities The client, a large bank, is in the process of centralizing its key reporting and aggregation processes on cloud platforms.

In 2024, the intention is to c entralize cashflow aggregation onto a platform based on Databricks technologies (Databricks and Deltalake). The project involves collecting both actual and forecast cashflows from both real-time and batch data sources, cleaning and enriching the data, and storing the resulting aggregated data in Deltalake for use in reporting.

Qualifications Technical skills: Successful candidates will have played an important role in at least one Databricks platform implementation.

Experience in data migration, data integration, and delivery of data warehouses is also advantageous. Databricks: the candidate should be familiary with ETL/ELT in Databricks, with Medallion architecture and with Deltalake.

Other relevant technologies include: Streaming technologies such as Kafka Delta Share and Deltalake Connector SQL, Python and PySpark Domain knowledge: The successful candidate will have a background in financial products and processes.

Relevant areas of domain knowledge include: Cashflow forecasting and liquidity management Financial products including securities such as swaps, and banking products such as loans Reference data including counterparty and business hierarchy data Regulatory and risk management reporting needs Experience of the challenges of aggregating data in bulk across business units and asset classes Other capabilities: This role is likely to have an element of communication and leadership, rather than being purely a technical role within the team.

The bank is at a relatively early stage in implementing the transition to Databricks. The role will involve guiding and understanding aspects of the migration such as cost management and use case prioritization.

The role will involve communicating with data providers and data consumers to understand the requirements and to source and map the needed data fields.

Benefits Treliant offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefit package that reflects our commitment to creating a diverse and supportive workplace.

Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. If you strive for excellence and seek an inclusive environment apply on line www.treliant.com and follow us on LinkedIn.