Data Engineer - Jobs in Lower St. Marys

Job Description

You belong at Dayamp; Ross.Data EngineerFull Time / PermanentFredericton, NBAs a data engineer at Dayamp; Ross, you will be a key team member leading us through our digital transformation. Your primary role will be to design and build enterprise data sets and pipelines using modern tools that will be used to generate insights that fuel our business. You will work closely with a team of IT and business professionals to ensure our enterprise data needs are understood and we have the right dataamp; analytics solutions are in place to support our needs.How You #39;ll Help

• Gather, document, and communicate data requirements, specifications, and assumptions.
• Collaborate with data architects, scientists, analysts, and business consumers to prepare data models and Power BI data sets for a variety of uses ranging from operational reporting to more advanced data science solutions.
• Transform data into facts and dimensions using SQL.
• Validate and test data models for accuracy and performance.
• Troubleshoot and resolve data issues and anomalies.
• Provide data insights and recommendations to support business decisions.
• Design, build, test,amp; optimize data pipelines to support numerous business analytics initiatives and solutions.
• Design, build, test,amp; document data structures and models that are accurate, secure, timely, and can be trusted by the business.
• Proposeamp; create innovative and automated processes to ensure data integrity, completeness, and accuracy.
• Educateamp; train other team members on the enterprise data assets available, how they have been constructed, and how they can be used.
• Participate in data governance activities to drive high data quality and standards and support data cleansing initiatives.
• Participate in agile ceremonies like daily stand ups, product demos, retrospectives.

Your Skillsamp; Experience:

• Bachelor or master #39;s degree in computer science or related education with at least six years of work experience in data management disciplines including data integration, modeling,amp; optimization.
• Strong experience in designingamp; build data warehousing, data lake, data ingestion, business intelligence, and analytics solutions.
• Strong experience building data acquisitionamp; ingestion with a variety of patterns and techniques include batch, streaming, replication, API, etc. for structure and unstructured data.
• Hands on experience working with a variety data structures and formats including relational, star schema, columnar, JSON, Parquet, etc.
• Hands on experience delivering modern dataamp; analytics platformsamp; technologies (e.g., Azure Synapse, Azure Data Factory, Snowflake, Power BI, Information iPaas).
• Strong experience with modern data programming languages including SQL, NoSQL, PL/SQL.
• Strong experience with data ingestionamp; ELT tools eg. Azure Data Factory, Informatica.
• Familiar with data modeling tools and techniques.
• Experience developing in modern analytics programming languages include Python, R, Scala, and others.
• Working knowledge of modern BI platforms including Power BI.
• Curious about modern digital technologies and passionate about keeping skillsamp; knowledge current with the industry.
• Confident self-starter that can work in a team environment as well as independently.
• Works with a high sense of urgency to deliver maximum value.

To apply, visit our Careers page at dayross.com.If you #39;re chosen for the role, you #39;ll be asked to provide reference and criminal background checks before employment. You #39;ll only be contacted if you #39;re selected for an interview.About Dayamp; RossFrom a single truckload of potatoes in the 1950s to a fleet of thousands, Dayamp; Ross has grown to become one of the largest transportation and logistics providers in North America. With over 7,500 team members on and off the road in the US and Canada, we offer a diversified portfolio of freight and delivery solutions, including LTL, Truckload, Residential, Dedicated Fleet Solutions, and Logistics.We believe our people are our greatest strength. For over a decade, we #39;ve been recognized as one of Canada #39;s Best Managed Companies. We #39;ve also been named a Top Company for Women to Work for in Transportation since 2018. Our recognition reflects the family values we share with our parent company, McCain Foods Limited.As a federally regulated employer, Dayamp; Ross fully supports the principles of employment equity and encourages all qualified members of the designated groups to apply. Dayamp; Ross is committed to ensuring equal access and participation for people with disabilities and meeting their needs in a timely manner. We will do so by removing and preventing barriers to accessibility and by meeting our accessibility requirements under Accessible Canada Regulations and in alignment with our business practices, capabilities, and values.