Data Engineer

Infotek is searching for a Cloud Data Engineer with ETL, ELT, SQL, GCP, and ideally experience with any data ingestion tool like Fivetran, Qlik, Airbyte or any other similar tools. project: Build the data pipelines and analytics for the bank. International banking Salesforce effectiveness - Support to migrate IB Commercial Banking data to Google Cloud Platform (GCP) and to CB Commercial Banking's Salesforce Financial Services Cloud (FSC) instance to create a global commercial Salesforce org. Typical Day in Role: • Design, develop and maintain robust data pipelines for ingestion, transformation, and distribution of large datasets. • Utilize services and tools to automate data workflows and streamline the data engineering process. • Collaborate with stakeholders and product managers to analyze, and build data mapping, models and reporting needs. • Monitor application and pipeline performance. • Conduct data quality checks Candidate Requirements/Must Have Skills: • 10 years of experience with Data Warehouse / Data Platforms • 5 years of experience creating ELT data pipelines from scratch, working with structured, semi-structured, and unstructured data and SQL. • 2 years of experience configuring and using data ingestion tools such as Fivetran, Qlik, Airbyte or others. • 5 years of experience with Cloud: GCP • 5 years of experience working as a data developer, data engineering, programming, ETL, ELT, processes for data integration. • 5 years continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform Nice-To-Have Skills: • Experience in data modelling, manipulating large data sets and handling raw SQL, and handling other cleaning techniques. • Python – nice to have • DBT – nice to have

Location: Toronto, CA

Posted Date: 10/5/2024