Data Engineer - Investments Tech hos Liberty Mutual

Job Introduction:


Are you passionate about Data and Cloud Technology? Do you enjoy working with Python, ETL Frameworks, and BI Reporting? Are you intrigued by Investments and Finance? Do you want to join an Innovative Team with a start-up mindset and fortune 100 stability? If Yes, there’s a place at Liberty Mutual Investments for you!

About the job:


The Data Engineer will help build technology to enable Back and Middle 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 preferred.
  • 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.
  • Collaborate in design, development and implementation of software solutions for LMI Tech using modern technology stack.
  • Demonstrates solutions and articulates business value to LMI business partners at sprint showcases.

  • Bachelor’s degree in technical discipline, or equivalent professional experience.
  • 3+ years’ experience as Data Engineer.
  • Expertise in SQL (Programming views, stored procedures, and functions).
  • Expertise in Python (ETL tools- Pandas/NumPy, Python unit testing etc.).
  • Experience with Cloud platform technologies (AWS/Azure).
  • Familiarity 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 accounting/General Ledger).

Bonus skills:

  • Demonstrated experience delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake, Snaplogic and Orchestration tools
  • Experience with CI/CD pipeline, and DevOps.
  • Experience with REST API, JavaScript functions
  • Experience in Agile software development practices (story sizing, sprint planning, retrospectives).

Job Introduction:


Are you passionate about Data and Cloud Technology? Do you enjoy working with Python, ETL Frameworks, and BI Reporting? Are you intrigued by Investments and Finance? Do you want to join an Innovative Team with a start-up mindset and fortune 100 stability? If Yes, there’s a place at Liberty Mutual Investments for you!

About the job:


The Data Engineer will help build technology to enable Back and Middle 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 preferred.
  • 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.
  • Collaborate in design, development and implementation of software solutions for LMI Tech using modern technology stack.
  • Demonstrates solutions and articulates business value to LMI business partners at sprint showcases.

  • Bachelor’s degree in technical discipline, or equivalent professional experience.
  • 3+ years’ experience as Data Engineer.
  • Expertise in SQL (Programming views, stored procedures, and functions).
  • Expertise in Python (ETL tools- Pandas/NumPy, Python unit testing etc.).
  • Experience with Cloud platform technologies (AWS/Azure).
  • Familiarity 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 accounting/General Ledger).

Bonus skills:

  • Demonstrated experience delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake, Snaplogic and Orchestration tools
  • Experience with CI/CD pipeline, and DevOps.
  • Experience with REST API, JavaScript functions
  • Experience in Agile software development practices (story sizing, sprint planning, retrospectives).

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