ETL Data Engineer

Role : ETL Data Engineer

Location : Markham, ON (Hybrid- 3 Days Onsite (Mon/ Tues/ Wed))

The L2 interview will be conducted in person at the client’s location in Markham, ON

What you’ll do • Work with the ETL data engineering team & business intelligence team to understand requirements for the database design and model the data as per the needs of business. • Work with the ML engineering team and understand the needs for ML models and appropriately build the data models for their feature stores. • Be in charge of developing conceptual, logical, and physical data models and implementing RDBMS, operational data stores (ODS), data marts, JSON/XML schemas and data lakes schemas on target platforms (SQL/NoSQL). • Manage the extension of existing data architecture and optimize data query performance through best practices. The applicant must be capable of working both alone and cooperatively. • Collaborate with the development team to design and build the database model. • Work in collaboration with data engineering teams in documenting the source to target mappings. • Experience working with relational, dimensional and data vault data modeling techniques. • Understand the company’s data migration needs. • Work with the development team to implement the migration rules related to data. • Work with data scientists to understand feature engineering needs and design the required logical & physical data models in the underlying ecosystem • Help determine data security needs and work with security or infra teams to implement security solutions.

What you’ll bring • A bachelor’s degree in management information systems, Computer Science, Computer Information Systems, or a related Information Technology area • Minimum 10 years of experience successfully leading Data modeling & design with expertise in building large-scale enterprise data models. • Solid grasp/experience with data technologies & tools (Snowflake, Hadoop, PostgreSQL, Informatica, DBT cloud, Airflow, AWS Glue etc.,) • Proficient in industry-standard data modelling methodologies • Excellent teamwork and communication abilities • Excellent consultative, facilitative, and consensus-building abilities • Proven expertise in developing relational databases in a corporate context. • Demonstrated expertise in developing models for Business Intelligence solutions • Excellent analytical, data profiling, and problem-solving abilities • Excellent oral and written communication abilities • Advanced SQL knowledge • Thorough understanding of modelling methodology and procedures • Thorough understanding of facilitation and dispute resolution methods • Knowledge of Business Intelligence products • Outstanding knowledge and experience in ETL with any of the ETL tool product suite. • Experience establishing documentation standards frameworks for data quality, data governance, stewardship and metadata management. • Ability to foundationally understand complex business process driving technical systems. • Excellent verbal and written communication skills. • Insurance knowledge an asset. • Knowledge of ER modeling, big data, enterprise data, and physical data models • Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or ERWIN Data Modeler • Strong attention to detail. • Ability to work in a fast-paced environment. • Ability to work both independently and as part of a team.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf