Data Analytics IT Specialist

2 weeks ago

Edmonton, Canada Enbridge Full time

Posting End Date:
March 22, 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.

What You Will Do:

- 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.
- Assists in solutions architecture, data engineering, DevOps and analytics related strategic planning activities.
- Leads data engineering from a operational standpoint and provides expert recommendations for data engineering product design and know-how to address business needs.
- 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.
- Designs the architecture of the data platforms and assists with delivery activities in a hands-on manner where required.
- 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.
- 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)
- 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
- 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.

Who You Are:

- Bachelor’s degree in Computer Science, Engineering or a related field and 7+ years progressively professional experience in a computer engineering role.
- 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.
- 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).
- 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.
- 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).
- Strong DevOps skillset ranging from but not limited to, software development, IT operations, automation, Cloud computing and monitoring and logging.
- 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.

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

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