As a Data Engineer for Finance One (F1), you will be providing a single, complete, consistent and harmonized repository of data for CFO. You will be creating and federating a suite of tools that make it easy for other teams to adopt the F1 big data platform. Our user friendly tools are helping users achieve complexity reduction and financial data harmonization while at the same time improving data integrity, data quality, data security and processing speed.

Key Responsibilities Encouraged:

Build high performance scalable data pipelines using Big Data technology

Thoughtfully design data models that optimize storage and retrieval.

Perform root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Your future colleague

You will join the F1 Core Data Services team within our F1 Platform & Application Engineering team. You will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure efficient data delivery architecture is consistent throughout ongoing projects. We truly believe everyone should be able to use the power of big data for their analytical needs and strive to enable this by eliminating the challenges teams within the bank face in adopting a big data technology stack We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm's D&I ambition which is an integral part of our global cultural value

Your skills and experience

We are looking for applicants with proven experience of 5+ years as a Data Engineer working on building performant data pipeline

• Proven experience with big data tools like Spark, HDFS, Hive, Impala and Kudu
• Advanced knowledge of Scala, Python, Java, Bash (at least one is essential)
• Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL)
• Experience with relational SQL and NoSQL databases.
• Experience in implementing big data projects with high SLA for data availability and data quality
• Exposure to public cloud platforms (GCP/Azure/AWS) is a major plus.
• Dedication to fostering an inclusive culture and value varied perspectives.