Senior Data Engineer

4 days ago

Boston, United States MFS Investment Management Full time


THE ROLE

We are searching for an enthusiastic Senior Data Engineer to join our Investment Technology Team. You will play a key role in shaping the future of investment data at MFS by designing, developing, and implementing data engineering and analytics solutions for our multi-asset platform. This role offers the chance to leverage your expertise in investment data, cloud platforms, and data pipelines to contribute to a long-term strategic initiative to unify our investment data.

WHAT YOU WILL DO

  • Analyze and organize raw data from different sources (vendors, data delivery methods, etc.)

  • Maintain SQL databases.

  • Build data models and pipelines

  • Automate reports and processes to run with varying frequencies.

  • Monitor and debug processes and report the problem to the corresponding responsible parties.

  • Explore ways to enhance data quality, reliability, and efficiency

  • Develop analytical tools and programs

  • Collaborate with data scientists and architects on several projects

  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.

  • Work with cross functional Agile teams and DevOps principles

WHAT WE ARE LOOKING FOR

REQUIRED:

  • Bachelor's degree or equivalent experience in Computer Science, Finance, or related field.

  • Minimum 2-5+ years of related experience in Extract, Transform, Lead (ETL) and/or Extract, Load, Transform (ELT) processes.

  • Extensive experience working with database management languages (SQL, NoSQL).

  • Experience with object-oriented programing (OOP)/Scripting languages such as R or Python

  • Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Amazon Red Shift, Google BigQuery, Azure Synapse).

  • Strong technical acumen, analytical and problem-solving skills, critical thinking skills

  • Ability to work across boundaries, building cross-organizational relationships.

  • Strong understanding of data modeling concepts (ERD, Dimensional Modeling, Data Vault) and data APIs (RESTful API).

  • Strong desire to expand your skills through self-study, hands-on learning, and formal instruction.

  • Strong interpersonal, communication (both written and oral) & analytical skills; must be team-oriented and deadline-driven.

PREFFERED:

  • Experience with data integration tools such as DBT and Fivetran/HVR

  • Experience in fixed income or financial services.

#MBLI

PDN-9c17e2b1-88a4-4d4d-b8f6-6cfd78bd865e

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