Data Engineer
1 month ago
We are seeking a Senior Data Engineer to join our team.
The successful candidate will be responsible for designing, developing, and maintaining big data reporting and analytics solutions, working closely with business partners and stakeholders to meet their decision-support requirements.
The Information Management team aims to empower the organization to drive efficiencies and savings across all facets of the business by providing internal and external customers with precision reporting, query, and analysis, statistical, descriptive analysis, and performance measurement.
Key Responsibilities:
- Collaborate with customers across the organization to plan, scope, execute, and sustain data-based solutions.
- Act as a lead data engineer in machine learning projects by building and deploying models.
- Respond to internal and external ad-hoc requests, review, and clarify data requirements, ensuring report content is acceptable within policy and privacy protocols.
- Provide subject matter expertise within the department and to clients on data sources, reporting workflows, business process, and the appropriate tools to analyze their data.
- Participate with corporate data user teams, developing data validation and test plans, performing user acceptance testing, and providing feedback to development and sustainment teams.
- Conduct analysis for moderate to complex requests, defining data fields, determining data availability, developing information layout, format, and interactivity, presenting findings, and providing clarification.
Requirements:
- Advanced skill in programming languages such as Scala or Java.
- Working experience with Big Data platforms, with exposure to Hadoop ecosystem (HDFS, Hive, Spark, Kafka).
- Working experience in building and deploying machine learning models.
- Advanced working SQL knowledge and experience working with relational databases and SQL.
- Strong analytic skills related to working with unstructured datasets.
- Demonstrated ability to work with large and complex datasets, while managing priorities and responding to time pressures.
- Detail-oriented with demonstrated ability to meet deadlines, manage multiple priorities, and work effectively under pressure.
- Strong data quality management process understanding, data analysis, and data profiling.
- Ability to apply critical thinking skills to troubleshoot and perform root cause analysis on technical problems and solution design.
- Providing technical advice and guidance to staff in resolving complex data ingestion and transformation issues.
- Experience with performance tuning and code optimization.
- Design, develop, and enforce best practices and standards around data engineering.
- Ability to work effectively with a team or independently, as well as lead small teams as needed.
- Understanding of Agile Methodologies.
- Excellent interpersonal, verbal, and written communication skills to work with Managers, Directors & Executive level stakeholders.
- Experience with reporting and visualization tools, such as Tableau, user interface design, and iterative customer-driven design processes would be an asset.
This is a permanent position with a 2 days onsite and 3 days remote work arrangement. Full Vaccination Proof is mandatory prior to hire.
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