Akkodis is seeking a Senior Data Engineer for a full-time position with a client in Etobicoke, ON (Hybrid), and ideally looking for experience with 8+ years of data solution design/architecture, and Strong experience with Snowflake, Talend, and Azure

Position: Senior Data Engineer

Location: Etobicoke, ON (Hybrid),

Full Time

Interview process: First interview: on-site – no exceptions. The first half will be technical, second half will be behavioral. For successful candidates, there will be a second-round short video meeting with the VP.

Responsiblities

• Lead the architecture, design, and implementation of complex data architecture and integration solutions, including best practices for the full development life cycle, coding standards, code reviews, source control management, build processes, testing, and operations.
• Build and evolve the data service layer and engage the team to bring together components for an outstanding customer offering. Experienced in assessing overall data architecture and integrations, and making ongoing improvements to the solution offering.
• Engage with partners to establish clear needs and links to solutions, including setting up prototypes and involving multiple parties in design sessions.
• Develop Data Pipelines using modern tools
• Create efficient load processes, including logging and handling of exceptions, notification to support, and overall visibility of operations.
• Perform database monitoring, collaborate with database administrators to optimize database performance
• Lead the analyses of database entities, relationships, and attributes to determine efficient design solutions according to needs
• Collaborate with company partners to ensure adherence to standards for code, design, documentation, testing, and deployment
• Collaborate with data governance and strategy to ensure data lineage is well understood and constructed in a way to highlights data reuse and simplicity.
• Assess new opportunities to simplify the data operation with new tools, technologies, file storage, management, and processes. Use team context and experience to evaluate these opportunities and bring them forward to team members for assessment and implementation.

What you bring

• Bachelor's degree required (master's an asset) in Software Engineering, Computer Science, or equivalent work experience in a Technology or business environment
• Minimum of 7 years of experience working in developing and following structured work processes in data engineering
• Minimum of 4 years of experience in Data Solutions Architecture
• Minimum of 4 years of experience in integration solutions development with any pipeline Tools (Informatica, DataStage, SSIS, Talend)
• Demonstrated proficiency in Snowflake, Talend, WhereScape, Data Vault 2.0, Kafka, Active Batch, Azure Data Bricks, Python, SQL
• Experience with Cloud platform services such as Azure, AWS
• Proficient in multiple programming languages and coding. Excellent ability to design and engineer moderately complex enterprise solutions.
• Proficient in data management, governance, data design, and database architecture. Experience manipulating, processing, and extracting value from large, disconnected datasets.
• Proficient in data modelling, data integrations, data orchestration, and supporting methodologies.
• Proficient in leading large-scale projects or project steps and communicating progress/approach with technical/non-technical peers/clients and leaders.

Nice-to-have

• Knowledge of Business Intelligence, Analytics, and Reporting
• Build Dashboards and Data Visualizations (PowerBI, Collibra)
• Experience working with DevOps pipelines (Git, Maven, Gitlab, Jenkins), continuous integration/delivery, automated testing (unit, functional, performance)