As a Lead Data Engineer, you will play a critical role in shaping business decisions to drive growth and protect the well-being of people worldwide.
The company is a global professional services firm that makes strategic decisions to enrich lives globally. Our diverse product offerings and extensive global reach provide unparalleled access to data and insights, enabling us to innovate and develop distinctive solutions for clients.
In this position, you will collaborate with experienced teams of actuaries, data analysts, architects, data engineers, and business experts to deliver projects successfully. You will design and implement scalable data architectures that align with business objectives, including data models, metadata management, and database schemas effectively.
You will define standards, frameworks, and best practices for Spark-based ETL/ELT development, drive automation and infrastructure-as-code practices (e.g., Terraform, Databricks CLI/API), and perform data analysis to troubleshoot and resolve data-related issues efficiently.
You will implement data warehouse and lake house solutions to support data and analytics initiatives, assist in the support and enhancements of existing data pipelines and databases, and troubleshoot performance issues systematically.
You will participate in database design and modeling, provide technical leadership and guidance to the data engineering team in implementing architectural designs, and work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions.
This role is perfect for someone who is a great team player, keen to learn new skills, and has a meticulous eye for detail. You will work with a team of experienced professionals to build databases, warehouses, and ETL/ELT pipelines to fuel modern web applications and visualizations creatively.
Required Skills:
* Strong understanding of data architecture, data modeling, and database schema design
* Excellent programming skills in Python, Java, or C++
* Experience with Spark-based ETL/ELT development and automation practices
* Knowledge of Terraform, Databricks CLI/API, and infrastructure-as-code practices
* Strong analytical and problem-solving skills
Benefits:
* Opportunity to work on challenging projects and innovate in data and analytics
* Collaborative and dynamic work environment
* Competitive salary and benefits package
* Ongoing training and skill development opportunities
What We Offer:
* A dynamic and supportive work environment
* Opportunities for career growth and professional development
* Recognition and rewards for outstanding performance