DataOps/Cloud Data Engineer – Senior at Innosystech Inc — NeverHard

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Job Description Job Title: RQ11099 DataOps/Cloud Data Engineer Senior Client: Health Services Cluster Ministry: Ministry of Public and Business Service Delivery and Procurement Location: 5700 Yonge St, Toronto, Ontario Work Model: 5 Days Onsite Security Clearance: CRJMC Description / Responsibilities / Skills Responsibilities: Design, develop, test, implement, and troubleshoot: data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue complex data transformation procedures data models for data warehouses and lakehouses Skills Experience and Skill Set Requirements Data engineering Experience Programming & scripting: Python, SQL, Linux shell, PowerShell. Data manipulation/analysis using pandas and pyspark. Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data 40% Cloud experience AWS and/or Azure services. Cloud data warehouse solutions such as AWS Redshift. Data lakehouse solutions such as Databricks (Delta Lake). Data processing orchestration/automation 25% Data Warehouse ETL tools (such as Azure Data Factory, AWS Glue) as well as cloud agnostic tools such as Informatica IDMC. Data modeling & architecture: relational and dimensional modeling. Data reporting/visualization. 25% Other Skills Full SDLC from requirements gathering, design, implementation, testing to deployment and production support Project management (agile/scrum and waterfall) Change and Incident management Communication, presentation and negotiation skills Consulting, problem-solving and decision-making skills 5% Public Sector Experience working in OPS and/or public sector in general 5% MUST HAVES: Data engineering (pandas, pyspark) Data lakehouse solutions such as Databricks (Delta Lake). Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data Experience using AWS Services such as Glue, StepFunctions, Lambda, S3 Extract/Transform/Load data using tools such as Informatica IDMC