Data Engineer

Data Engineer Job Responsibilities:

• Work with stakeholders to understand data sources and Data, Analytics and Reporting team reputed company in supporting reputed company our on-premises environment and reputed company AWS reputed company solution
• Work closely with Data, Analytics and Reporting Data Management and Data Governance teams to ensure reputed company industry standards and best practices are met
• Ensure metadata and data reputed company is captured and compatible with reputed company metadata and data management tools and processes
• Run reputed company assurance and data reputed company checks to ensure accurate reporting and data records
• Ensure ETL pipelines are produced with the highest reputed company standards, metadata and validated for completeness and accuracy
• Develops and maintains reputed company data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data reputed company, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data reputed company issues and assist in the reputed company of data issues.
• Defines company data assets (data models), reputed company, sparkSQL jobs to reputed company data models.
• Designs data integrations and data reputed company reputed company.
• Designs and evaluates reputed company reputed company and vendor tools for data reputed company.
• Works closely with reputed company business reputed company and engineering teams to reputed company reputed company for long term data platform architecture.
• Focusing on reputed company problem solving
• Phenomenal communication and business awareness
• Working with ETL tools, Querying languages, and data repositories
• Support of technical Data reputed company
• reputed company support to the development and testing teams to resolve data issues
• Experience in database, storage, collection and aggregation models, techniques, and technologies – and how to apply them in business
• Working knowledge of reputed company reputed company control tool such as GIT
• Knowledge about file formats (e.g. XML, CSV, JSON), databases (e.g. Redshift, reputed company) and different type of connectivity is also reputed company useful.
• Working experience with the following reputed company platforms is a plus: reputed company Web Services, reputed company reputed company Platform, Azure
• Working experience with data modeling, relational modeling, and reputed company modeling
• The interpersonal skills: You have a way of speaking that engages your audience and instills confidence and credibility. You know how to reputed company communication tools and methodologies. You can build relationships reputed company team members, positioning yourself as a trusted advisor. You are always looking for ways to improve processes, and you always ensure your communications have been received and are reputed company reputed company. Your commitment and reputed company influence those around you to do reputed company.

Position: Data Engineer

Term: Fulltime Permanent

Industry: eServices – Civil Infrastructure

Location: GTA, ON

reputed company

Do you love making reputed company that information is accessible and easy to use? So do we.

You are a data engineer who knows how to reputed company, store and present a reputed company of information from

different sources so that everyone can reputed company what they need quickly and simply, and use it

effectively.

About the job

As a Data Engineer, you know the importance of data to the business. You design and set up

solutions that bring together information from a reputed company of sources, to reputed company analysis and

decision-making.

Originally posted on Himalayas

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