Data Engineer

Manulife • Boston, MA

5d • Hybrid

About The Position

What distinguishes this opportunity? At John Hancock Manulife, we are devoted to nurturing an environment where your skills and ambitions can prosper. As a Data Engineer, you will have a key role in constructing and managing our data systems and architecture. This versatile role, situated in Boston, MA, delivers an optimum mix of hybrid flexibility and collaborative in-person interactions, empowering you to succeed personally and professionally. This role is located in Boston and has a Hybrid Model of 3 days in the office. As a Data Engineer at John Hancock Manulife, you would play a meaningful role in development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.

Requirements

• 2+ years of background as a Data Engineer.
• Demonstrable experience in building and operationalizing data pipelines.
• Hands-on experience with programming languages like Python and SQL.
• Solid grasp of data warehousing concepts and relational data modeling.
• Strong working knowledge of SQL queries, Databricks, Synapse, and SQL Server.

Nice To Haves

• Familiar with DevOps and CI/CD pipelines in the automation of ETL workloads.
• Familiar with cloud platforms such as Azure and AWS, along with related technologies.
• Superb communication and interpersonal skills.
• Strong analytical, problem-solving, and abilities.
• Proficiency in data processing, performance analysis, tuning, and resource optimization.
• Understanding of Agile Scrum methodologies and experience working in an Agile team, including familiarity with collaboration tools such as Teams and JIRA.
• A dedication to continuous learning from both successes and failures, with an openness to change and improvement.
• Familiar with production release and operational support models.

Responsibilities

• Build, develop, and maintain scalable ETL/ELT pipelines.
• Develop and uphold the company's data architecture, including data models, schemas, and data dictionaries.
• Integrate data from diverse sources, ensuring quality and consistency, and prepare it for analytical and operational uses.
• Adhere to data governance policies and processes to safeguard data security, privacy, and compliance.
• Collaborate with data professionals, including data scientists, analysts, and business team members, to comprehend data requirements and devise solutions to meet those needs.
• Stay informed about the latest tools and technologies, finding opportunities to improve Manulife's data infrastructure.
• Illustrate the aptitude to learn and apply established methods in data engineering and cloud computing to ensure scalable, efficient, and effective solutions.

Benefits

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.
• Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans.
• We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources.
• Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed