MA
MassMutualQuantitative Data Engineer
Quantitative Data Engineer developing data solutions and automations for MassMutual's investment management. Working with data orchestration tools within a collaborative team environment.
About the role
- Design, develop, and maintain scalable data pipelines using Databricks
- Implement and manage ETL processes to ensure high data quality and reliability
- Optimize data storage solutions for performance and cost-efficiency
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights
- Contribute to the development of data strategies that align with the company's business objectives, especially within the fabrics domain
- Ensure data security, privacy, and governance across all data platforms
- Implement best practices for data management, including documentation, testing, and version control
- Stay current with the latest trends and technologies in data engineering, particularly within Databricks and the fabrics industry
Requirements
- 5+ years of experience in data engineering or a related role
- Extensive experience with Databricks, including Databricks Delta Live Tables, Databricks Asset Bundles
- Proven experience in the MS fabrics with a strong understanding of industry-specific data challenges and opportunities
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP
- Proficient in programming languages such as Python, SQL
- Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL)
- Proficient with data visualization tools (e.g., Power BI, Tableau)
- Proven experience in Dimensional Modelling including star schema basic notion
- Excellent problem-solving and analytical skills
- Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders
- Ability to work independently and as part of a team in a fast-paced environment
- Informatica Power Center is nice to have!
Benefits
- Comprehensive medical, dental, vision and others
- Professional Development Training with Individual Development Plans to map out your career growth
- Opportunity to work in a global environment with diverse teams built with colleagues from around the world
- Opportunity to work with technology industry leaders in the financial services industry
- Opportunity to work for big name clients in capital markets, banking and other industries
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer designing and scaling data infrastructure for analytics, machine learning, and business intelligence in a software supply chain security company.
NI
NinjaTraderSenior Data Engineer
Data Engineer developing architecture and pipelines for data analytics at NinjaTrader. Empowering analysts and improving business workflows through data - driven solutions.
SP
SpecsaversData Engineer
Data Engineer designing and developing data solutions at Specsavers. Collaborating on data pipelines and migrations with analysts and stakeholders.
AL
AlterricData Engineer
Data Engineer joining Alterric to collaborate on data platform projects and analytics solutions. Working with Azure Cloud technologies to ensure data quality and integrity for informed decision - making.
KY
KyndrylELK Data Engineer
Data Engineer at Kyndryl transforming raw data into actionable insights using ELK Stack. Responsible for developing, implementing, and maintaining data pipelines and processing workflows.
TC
The Clorox CompanySenior Data Engineer
Senior Data Engineer at Clorox developing cloud - based data solutions. Leading data engineering projects and collaborating with business stakeholders to optimize data flows.
FT
FCamara Consulting & TrainingData Engineer – AWS Stack
Data Engineer building solutions on AWS for high - performance data processing. Leading initiatives in data architecture and analytics for operational support.
SI
SilaeSenior Data Engineer
Senior Data Engineer overseeing Databricks platform integrity, optimizing data practices for efficient usage. Leading teams on compliance while mentoring a junior Data Engineer.
Associate Data Engineer contributing to software applications development and maintenance using Python. Collaborating with teams for clean coding and debugging practices in Pune, India.