Job Description
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 needsCombine multiple data sources across all contact center platforms and applications to support advanced analytics productsIngest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data storesSupport the Senior Data Engineer in defining data quality metrics and processes to monitor data in production environmentAssist MIS & Data Analytics team with infrastructure developmentDevelop ETL/ELT for analytics solutions using Python, Spark, SQL and Power BIProduce 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 stakeholdersAssist in mentoring and up-skilling peers for advanced analyticsStreamline, enhance and automate existing products to create capacity for team to develop new solutionCandidate Requirements/Must Have Skills:8- 10+ years of data engineering experience working with cross-functional data teams8- 10+ years using python or other programming languages , package management, dependencies, and deployment8- 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 design8- 10+ years’ experience designing and building ETL/ELT, data pipelines, or data engineering solutionsStrong Experience with Linux tools and shell scriptingNice-To-Have Skills:Experience with cloud architecture and the security (Azure, AWS, GCP)Experience and understanding of various ML techniques including NLPHands-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 KubernetesFrench and / or Spanish fluency an assetContact center experience an assetExperience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an assetWe thank all applicants for their interest and referral. However, only qualified candidates selected for an interview will be contacted.Job Type: Fixed term contractPay: $70.00-$75.00 per hourSchedule:Monday to FridayExperience: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