Sr. Data Engineer - 5344

Sr. Data Engineer - 5344

Duration: 12 months (possibility of extension)

Location: Toronto/Waterloo - Hybrid - 3 days/week in office

As the successful candidate, you will be responsible for executing on the company's vision around data platform, self-serve analytics and data marketplace across he company's portfolios & ecosystems. You will be part of data platform squad and will be responsible for evolving the engineering practice & develop foundational data capabilities using cloud technologies and also to deliver on end-to-end business use-cases. This is a high-impact role that requires technical expertise, leadership skills, and a strong understanding of industry standards and practices in data & cloud technologies. The ultimate objective is to enable best in class technology solutions and capabilities to realize significant company-wide positive business outcomes through implementation of data governance and reporting.

Must Have Skills:

• 6+ years’ experience in data-driven organizations with a focus on end-to-end large-scale initiatives.
• Experience with Snowflake, Apache NiFi, S3, PowerBI, Starburst Trino, Python, SQL
• 4+ years hands-on experience building applications, data platform and pipelines in cloud-native technologies.
• Deep technical understanding of Data and Analytics paradigms and technologies - Cloud (GCP, AWS, Azure), Databases/Warehouses (Snowflake, Oracle), Hadoop, etc.
• Experience with advanced ETL development using Informatica, PL/SQL, SQLServer and performance tuning.
• Knowledge and experience with PowerCenter based data ingestion and transformation pipelines.
• Proficient in designing and implementing scalable data pipelines, data lakes, and data warehouses.
• Solid programming skills in languages such as Python, Java, Scala and SQL.
• In-depth knowledge of cloud native technologies, including AWS services like S2, EC2, EKS, Glue, Sage maker, Athena and Redshift.
• Understanding around building API solutions and microservices.

Additional Skills:

• Experience working in Asset Management or Capital Markets Industry and has deep understanding of the business.
• Bachelor's or master's degree in computer science or related technical field.
• Demonstrated ability to communicate, negotiate, influence, and arbitrate competing priorities within a diverse set of user communities and stakeholders (internal and external).
• Strong decision making, outcome driven, influencing, leading change and communication skills.

Responsibilities:

• Active development of Data Pipelines (ETL) using Snowflake, Starburst, NiFi, S3, etc.
• Guide and mentor a team of data engineers and data analysts to achieve outcomes faster.
• Business communication and prioritization of work working alongside the product owner and the hiring manager.Technical Leadership: Provide technical guidance and mentorship to other members of data, cloud, and software engineers. Work closely with Technical Lead from the team to drive technical strategy, ensuring alignment with vision and goals.
• Data Marketplace: Evaluate and implement necessary system integrations to drive the company's vision around data-as-product and data discovery for business users.
• Platform Engineering: Work closely with DBTS teams to identify and implement right tools and technologies for current and future needs of the company.
• Inner sourcing: Partnering with other teams, drive the needs of the company by creating a collaborative development approach.
• Partner with technical program managers to create backlog of work for team and report on critical initiatives.
• DevOps: Develop effective DevOps practice to improve developer experience and faster time-to-market.