Data Analytics It Specialist

Posting End Date
April 20, 2023
Employee Type
Regular-Full time
Union/Non
This is a non-union position
We are seeking a Specialist I IT Data Analytics to join our team!
We are looking for someone who can lead data engineering efforts for the existing portfolio of data analytics products, solutions, services and supporting technologies, including modern cloud-based systems and other service and solution components within Enbridge. The role requires working closely with business relationship managers and other stakeholders to align data engineering services and achieve the objectives and key results of Enterprise Data and Analytics Services.
If you wish to join the Enbridge family apply today!
What You Will Do

• Designs the architecture of the data platforms and assists with delivery activities in a hands-on manner where required.
• Role models behaviors required to drive a culture of continuous improvement and innovation, including understanding data solutions, recommending new approaches for data transformation and data provisioning, and implementing analytics best practices for data engineering.
• Makes decisions on moderately complex to highly complex data issues regarding technical approach for project and operational components within the team’s data and reporting framework.
• Leads data engineering from a operational standpoint and provides expert recommendations for data engineering product design and know-how to address business needs.
• Assists in solutions architecture, data engineering, DevOps and analytics related strategic planning activities.
• Using an Agile methodology, organizes the work efforts of the Data and Analytics teams to ensure all data engineering products, services, and solution enhancement designs align with enterprise architecture direction and standard methodologies and meet customer requests in a timely manner.
• Oversees and ensures the maintenance of data engineering artifacts and procedures repository, including validation and verification of data engineering designs to confirm data products and solutions meet business requirements and service-level expectations before Production releases
• Understands strategic imperatives of the business and conducts value assessments to support prioritization of opportunities, including initiatives related to the data analytics portfolio through planning, budgeting, stakeholder engagement, risk/issue management, and status reporting.
• Provides strategic and expert guidance in development of data engineering models and ensures processes and solution components conform to technical functionality (e.g., preparation of high-quality data, security, performance, scalability, data recovery, and reliability)

Who You Are

• Advanced algorithm design and production programming skills in Python, Scala, Kafka, Hive, JavaScript, JQuery, JSON, REST API, and other related coding languages with proven experience using Apache Spark and designing relevant data structures, algorithms, and techniques related to systems that support high volume, velocity, or variety datasets including apps that utilize machine learning and artificial intelligence (ML/AI).
• Highly motivated, passionate, persuasive, and capable of quickly establishing credibility with the ability to provide thought leadership, challenge the status quo, drive out of the box ideas, and find new solutions to address technical challenges in an enterprise environment.
• Deep understanding of modern data engineering and big data analytics technologies, including analytical data stores (e.g., Delta tables, Data Lakehouse architecture), performance tuning and optimization, machine learning, advanced visualization, and automation.
• Technical experience in leading the development of data engineering pipelines using Databricks and integrating them into cloud-based analytical solutions working in collaboration with data ingestion, data engineering, data provisioning, data visualization, and data science teams.
• Strong DevOps skillset ranging from but not limited to, software development, IT operations, automation, Cloud computing and monitoring and logging.
• Understanding of parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch) and systems and cloud infrastructure tools (e.g., Kubernetes, Docker, and Ansible).
• Bachelor’s degree in Computer Science, Engineering or a related field and 7+ years progressively professional experience in a computer engineering role.

Enbridge Flex-Work Program

• Enbridge provides competitive workplace programs that differentiate us and offer flexibility to our team members. Enbridge’s FlexWork (Hybrid Work Model) offers eligible employees the opportunity to work variable daily schedules with a flexible start and end time, to opt for a compressed workweek schedule, and the option to work from home on Wednesdays and Fridays. Role requirements determine your eligibility for each option or combination of options.

Diversity and inclusion are important to us. Enbridge is an Equal Opportunity and Affirmative Action Employer. We are committed to providing employment opportunities to all qualified individuals, without regard to age, race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous/Native American status, or disability. Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting [email protected].
Information For Applicants

• Final candidates for this position may be required to undergo a security screening, including a criminal records check.
• We appreciate your interest in working with us; however, only those applicants selected for interviews will be contacted.
• Applications can be submitted via our online recruiting system only.

To learn more about us, visit www.enbridge.com