Data Engineer

Job Overview

Data Engineer Location RemoteBoston, MA Duration 6+ months contract + conversion The Data Engineer will help build technology to enable Back Office Investment functions (trade flows, accounting, reconciliation, reporting, and automated batch scheduling workflows) for integration with the investments Accounting Book of Record. Knowledge of investment financial data to serve application integration to trading platform and reporting is strongly desired. Prior experience working on Agile scrum teams in a scaled framework is desired. You will possess a hardworking “can-do” mindset with focus on the collective success of the scrum team to iteratively deliver high quality products to enable the investments business. Collaborates with the Product Owner, Scrum Master, Subject Matter Experts and Development team to define and analyze user stories tracked in Jira. Demonstrates solutions and articulates business value to business partners at sprint showcases. Actively participates in configuration to support Data Integration. You will be active member of Agile Scrum team involved in design, development, unit testing and support for all development related functions. Desired skills Bachelor’s degree in technical discipline, or equivalent professional experience. Minimum 3-5 years’ experience as Data Engineer. Expertise in MS SQL Server (Programming views, stored procedures, and functions). Expertise in Python (ETL tools- PandasNumPy, Python unit testing etc.). Experience with Data Warehousing, Dimensional Modeling (Kimball etc.), and Data Extraction Utilities. Experience with business intelligence tools and reporting solution (PowerBI, Tableau etc.). Experience with Financial Systems and reporting (Investments accountingGeneral Ledger). Experience in Agile software development practices (story sizing, sprint planning, retrospectives). Preferred skills Experience in integrating large scale financial investmentERP systems (SimCorp Dimension or similar platform) is a plus. Experience with REST API. Experience with GitBitbucket. Experience with CICD pipeline, and DevOps. Knowledge of Cloud platform technologies (AWS, Azure). Experience with automated testing software (Selenium, Ranorex, Tosca).