Lead Data Engineer
Ireland Telecommuters
Sun Life
Sun Life is a financial services company providing financial planning, life insurance, health insurance, investments and more.You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.
Job Description:
Data Solutions – Lead Data Engineer
Design, develop, deploy and support leading data and analytical solutions that are high-quality, fully performing and compliant with all standards and best practices in support of our business. Work independently and applies leading data and analytical skills, tools, practices, and techniques to all deliverables. Exhibits a strong understanding of data and analytical concepts such as: data architecture, development, testing, governance, security with a focus on learning more about these domains. Partner with U.S. IT and business groups to advance our strategy of realizing business value from data and utilizing data as a strategic asset. Ability to focus on task at hand, follow-through on prescribed plan with ability to be flexible and think under pressure. Highly motivated team player with a strong desire to learn, grow, and continuously improve.
Technical Skills
5+ years experience with SQL.
5+ Experience with ETL/ELT tools such as Informatica, SSIS etc.
Experience with BI tools not limited to SSRS, Tableau, Business Objects, LOGI, PowerBI, Quicksight etc.
Experience with R, Python would be preferred.
Experience Snowflake would be preferred.
Experience with AWS would be preferred
Key Skills
Ability to lead, drive and deliver data-informed product strategies within a team or as an individual contributor.
Remain current with technology trends and influence change across U.S. IT
Requires strong communication skills, both verbal and written, organizational skills, interpersonal skills.
Demonstrated aptitude towards problem identification, resolution and comprehension and interpretation of technical procedures.
Understanding of data governance, data protection, privacy and security best practices
Technically minded problem solver
Responsibilities
Design, develop, deploy and/or maintain leading data and analytical solutions that are high-quality, innovative, efficient, secure, creative, scalable, adaptable, dynamic, fully performing and comply with all standards and best practices in support of business and Client outcomes and objectives
Proven ability to work closely with Business organizations and lead a team to deliver on business needs.
Drive U.S. IT and U.S. business groups to deliver data-informed product strategies
Execute full software and product development life cycle (SDLC) and lead continuous improvements leveraging Agile best practices
Write advanced well-designed, testable, flexible, and scalable data solutions
Participate in data architecture design, data analysis, development and testing.
Produce technical specifications and determine operational feasibility.
Integrate leading software components into a fully functional software system
Troubleshoot, debug, and upgrade existing systems
Evaluate business and client feedback
Effectively mentor other engineers
Augment existing data sets with other data sources (i.e. external) to make reusable data assets
Lead a "data-first" approach to problem solving and designing IT solutions
Qualifications
Requires BS/BA degree or equivalent experience.
8+ years of progressive experience in a data driven technical role.
3+ years experience in a senior engineer capacity
Job Category:
Advanced AnalyticsPosting End Date:
08/07/2025* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Data analysis Data governance ELT ETL Informatica Power BI Privacy Python QuickSight R SDLC Security Snowflake SQL SSIS Tableau Testing
Perks/benefits: Career development
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