Senior Data Engineer, GFT

About the position In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Core Data Platform. The Platform, leveraging Hadoop Big-Data technologies, serves as the central repository of finance related datasets, with capabilities including the ingestion of positional/trade, sub-ledger, general-ledger trial balances, and reference data; as well as data enrichment, adjustment, reconciliation, analytics and reporting functions. Responsibilities • Work with the Product Owner, Product Manager, and Development Lead to understand and determine best mix of development and technical solutions to meet business requirements and project objectives. • Work on detailed design and development phases of project initiatives; identifying, tracking and resolving technical issues. • Ensure design/development solutions are aligned to the data/architecture strategy. • Ensure adequate technical/reference documentation and training is in place. • Provide assistance to the application support team in troubleshooting and resolving production issues. • Coordinate with the Quality Engineering team on all aspects of testing and verification, ensuring quality assurance testing is performed for all changes. • Impart knowledge, benefit of experience, and mentoring to other members of the team. Requirements • Total Experience 5+ years’ , with atleast 2-3 years experience with Spark (Scala/Python) , Big Data ,Databricks, Airflow ,DBT • Solid experience (as evidenced by resume) with Apache Hadoop/Hive ETL/data-pipelines or other big-data platform technology/tools Cloudera • Solid experience (as evidenced by resume) with SQL, Oracle/PL-SQL or any ANSI-compliant RDBMS platform preferred. • Experience on Windows/Unix/Linux OS. • Undergraduate degree/diploma in computer science/engineering or related technology discipline. • Solid communication and time management skills. Nice-to-haves • Demonstrable experience with DevOps tools/technologies, including continuous integration/delivery tools and technologies such as GitHub, Jenkins, Synk, JIRA, Confluence, Airflow • Demonstrable experience with containerization tools and technologies such as Docker, Kubernetes, Redhat OpenShift Container Platform (OCP). • Experience with Capital Markets or other financial technology services’ middle/back office environments. • Experience with/exposure to cloud technology platforms such as PCF (on-prem), AWS. Azure (off-prem). • Experience with/exposure to Business Intelligence (BI)/Analytics/Reporting tools, such as Tableau, Datameer, Power BI, Presto, Snowflake, Apache Superset, etc. • Experience with/exposure with Test driven development (TDD) and automated unit testing. Benefits • bonuses • flexible benefits • competitive compensation • commissions • stock where applicable

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