System Analyst (Data Engineer) – Information Technology

Alberta Blue Cross

42d•Hybrid

About The Position

Alberta Blue Cross® is an Alberta based organization dedicated to delivering exceptional customer experience and community leadership. We’re committed to providing the best health coverage to over 1.8 million members and take an active role in promoting wellness. We believe in what we do—and place trust in our employees to deliver our vision. Working at Alberta Blue Cross® means having a career where you’ll be recognized for your contributions. We value diversity, encourage our team members to maintain a healthy work-life balance and provide opportunities for career growth. OVERVIEW: With over 400 employees in our Information Technology Division, individuals contribute to the maintenance, enhancement, and new development of applications that serve both our internal and external customers. Alberta Blue Cross® has an immediate opportunity, for a permanent full-time Data Engineer to join our team. This position will lead designs and implement data solutions to enable business analytics across the organization. You will be part of a cross functional team to deliver a breadth of solutions to solve our most challenging business problems, with a focus on Big Data, BI/DW, Data Governance, Master Data, Data Products and Analytics disciplines. Each of these solutions leverages a different mix of traditional and emerging technologies to achieve business outcomes. In this hybrid role, you will be required to commute to the Edmonton and or Calgary office.

Requirements

A bachelor’s degree or diploma in Computer Science or related technical discipline.
3+ years of progressive experience with analysis, design, development, testing, and deployment.
3+ years of experience implementing distributed systems and data architecture-design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Databricks and Python.
Experience with ETL development tools (e.g. Talend, Informatica, Databricks).
Applied knowledge of data storage and BI technologies such as Data Lakes, Data Warehouse, and Data Lakehouses.
Ability to write efficient, complex SQL queries against very large data sets, perform ETL optimizations, and work with big data processes.
Exceptional consultation skills, with the ability to convey technical ideas to both technical and non-technical audiences.
A mindset for contributing to a healthy culture in a supportive and collaborative team environment.
Exceptional planning, organizational, analytical, and problem-solving skills.
Leadership skills to create positive, respectful, and productive working relationships with all types of stakeholders.
The ability to think outside the box to solve complex problems.

Nice To Haves

Experience in Oracle database development and PL/SQL would be an asset.

Responsibilities

Work collaboratively with multiple teams across the organization.
Communicate effectively with your team, team manager and business customers.
Engineer data pipelines and BI/DW solutions to enable business analytics and insights.
Work with and lead cross functional teams on designing, building, and optimizing data systems.
Translate business rules and requirements into data objects, data models, source to target mappings and write abstracted, reusable code components.
Facilitate technical meetings with stakeholders, and advise technical option analyses based on leading practices in language understandable by stakeholders.
Assess the root cause of issues, recommend changes, and resolve issues.
Perform systems testing with both IT and business customers.
Provide support during various phases of testing.
Review requirements with users and provide time estimates for task completion.
Work as part of a project team as required.
Follow IT Controls practices (e.g. IT Governance, Data Privacy) to ensure quality output.
Follow Information Life Cycle and Data Governance best practices.
Embrace continual learning and understanding of the application environment, interdependencies, and data and systems integrations.
Be a leader in your team to help bring in all viewpoints to resolve any differences and conflicts.
Instill in others the willingness to do the job and work toward common objectives.
Help your team to persevere through distractions, shifting priorities, and repeated obstacles.