About the Role
We are looking for a collaborative and resourceful Data Engineer for our IT Data Platform Engineering Delivery team at Aviva Canada. You are dedicated, naturally inquisitive and are comfortable in a fast-paced environment.
This role will be part of and a member of our Information Technology Enterprise Data Services Group. You will be responsible for leading the architecture, design, analysis, and implementation in a successful, and experienced team. You'll be required to apply your depth of knowledge and expertise with both modern and legacy data platforms to develop data ecosystems that will meet business requirements and align with Aviva's enterprise architecture goals and standards. Aviva has embarked on an exciting journey to modernize, craft, and build a next generation data platform to support the growing data needs of the business and to enable the capabilities of AI to drive business value.
We embrace a culture challenging the status quo and constantly look to efficiently simplify processes, technology, and workflow.
What You'll Do
•Design, build and operationalize large scale enterprise data solutions in AWS and Snowflake
•Design and develop ETL pipelines to ingest data into cloud from different data sources (Files, Mainframe, Relational Sources, NoSQL, Hadoop etc.) using Python and DBT
•Proficient in designing, scheduling, and managing data workflows using Apache Airflow, including DAG creation, task orchestration, and monitoring pipeline performance
•Craft and develop solution designs for data acquisition/ingestion of multifaceted data sets (internal/external), data integrations & data warehouse/marts
•Advocate importance of data catalogs, data governance and data quality practices
•Outstanding problem-solving skills
•Self-starter with experience working in a fast-paced agile development environment
•Outcome focused with strong decision making and critical thinking skills to challenge the status quo which impacts delivery pace and performance and striving for efficiencies
What You'll Bring
•University degree in Computer Engineering or Computer Science
•5+ years of experience crafting solutions for Cloud, data lakes, data integrations, data warehouses/marts
•Proficient in AWS, Snowflake, Python and DBT to design, implement, and optimize data quality solutions for enterprise data management initiatives
•Hands-on experience in developing and maintaining automated workflows and system operations using Python and Apache Airflow, with a focus on streamlining processes and optimizing performance
•Outstanding knowledge and experience in ETL/ELT development
•Experience implementing Data Governance principles and efficiencies
•Familiar with Agile software development
•Excellent verbal and written communication skills
•Insurance knowledge is an asset - ability to foundationally understand complex business processes driving technical systems
What You'll Get
•The salary band for this position ranges from $115,000 to $135,000. Individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity
•Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities
•Outstanding career development opportunities
•Support for professional development education
•Competitive vacation package with the option to purchase 5 extra days off per year
•Employee driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion
•Corporate wellness programs to support physical and mental health
•Employee discount on home and auto insurance (where applicable)
•Hybrid flexible work model
