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Senior Data Engineer
4 months ago
Dawn InfoTek Inc. is a professional IT consulting team that partners with major financial institutions, investment firms and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting all levels of IT positions for our clients.
We are currently seeking competent individuals to fulfill the role of Data Engineer to join our dynamic team for our client, one of the major banks.
Typical Day in Role:
- Collaborate with stakeholders to deliver data models to address operational needs
- Combine multiple data sources across all contact center platforms and applications to support advanced analytics products
- Ingest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data stores
- Support the Senior Data Engineer in defining data quality metrics and processes to monitor data in production environment
- Assist MIS & Data Analytics team with infrastructure development
- Develop ETL/ELT for analytics solutions using Python, Spark, SQL and Power BI
- Produce ad hoc analyses, deep-dives, and drill downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
- Support the Senior Data Engineer in preparing reports and presentations to communicate findings to stakeholders
- Assist in mentoring and up-skilling peers for advanced analytics
- Streamline, enhance and automate existing products to create capacity for team to develop new solution
Candidate Requirements/Must Have Skills:
- 8- 10+ years of data engineering experience working with cross-functional data teams
- 8- 10+ years using python or other programming languages , package management, dependencies, and deployment
- 8- 10+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
- 8- 10+ years of experience with data modelling, data warehousing and database design
- 8- 10+ years’ experience designing and building ETL/ELT, data pipelines, or data engineering solutions
- Strong Experience with Linux tools and shell scripting
Nice-To-Have Skills:
- Experience with cloud architecture and the security (Azure, AWS, GCP)
- Experience and understanding of various ML techniques including NLP
- Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, BigQuery) and object storage (e.g. blob, MinIO, GCS).
- Understanding of Agile and Scrum methodologies and experience working in a Scrum environment (Jira and Confluence)
- Experience with Docker, CI/CD tools, and Airflow and Kubernetes
- French and / or Spanish fluency an asset
- Contact center experience an asset
- Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset
We thank all applicants for their interest and referral. However, only qualified candidates selected for an interview will be contacted.
Job Type: Fixed term contract
Pay: $70.00-$75.00 per hour
Schedule:
- Monday to Friday
Experience:
- data engineering: 8 years (required)
- python: 8 years (required)
- SQL for ETL: 8 years (required)
- data modelling, data warehousing and database design: 8 years (required)
- data analysis, syntax (SQL server, PostgreSQL): 8 years (required)
- designing and building ETL/ELT: 8 years (required)
- Linux tools and shell scripting: 5 years (required)
Work Location: Hybrid remote in Toronto, ON M5H 1N1
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