Data Engineer For Finance & Data Analytical Services

Data Engineer for Finance & Data Analytical Services

Data Engineer SAP, ETL, SQL, Big Data & GCP Cloud with Treasury Domain knowledge

Skills: SAP HANA, BW, ETL, SQL, Big Data (Hadoop, Hive, NoSQL), Cloud (GCP), Python/ Shell Scripting, PySpark, Treasury knowledge Investments, cash management, FX, Banking operations

The ideal candidate will support various Treasury Technologies on the development and execution of strategic transformation programs & initiatives, engineering architecture design, and platform

performance monitoring. The nature of the role is strategic, analytical, and highly collaborative, working with team members across World.

JD :

• 8+ years of experience in data mapping techniques.
• 3+ years of working with finance (Treasury domain is required) and with expertise in translating

functional requirements to technical specifications.

• 2+ years of strong experience Working with GCP, Big Data and its native cloud services will be an added

advantage.

• Working knowledge of reporting technologies like Power BI, Watch, and Looker is an added advantage
• Exposure to data from Finance ERP or treasury applications such as Bloomberg, Clearwater, Quantum,

FX, and other TMS is an added advantage.

• Only candidates with Treasury domain experience will be considered
• Experience in building Source to target mapping sheets in discussion with source SME's and businesses

and working with data modelers and Data Engineers to build & validate the E2E data flow.

• Experience with automation tools to extract data from primary and secondary sources.
• Ability to design & implement performant, scalable, resilient, reliable, and understandable data

pipelines.