DataOps/Cloud Data Engineer - Senior

Posted Yesterday
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Toronto, ON, CAN
In-Office
Senior level
Information Technology • Professional Services • Software • Consulting
The Role
Design, develop, test and support cloud data pipelines, transformations, and data models using Databricks, Azure/AWS services and ETL tools. Implement lakehouse/data warehouse solutions, perform orchestration, provide production support, and follow SDLC and change/incident management in a public-sector environment.
Summary Generated by Built In
We do have a job opening for DataOps/Cloud Data Engineer - Senior for our direct client Province of Ontario. The position details are given below:

Job Details:

Job ID: RQ11099 - DataOps/Cloud Data Engineer - Senior

Client : Health Services Cluster
Location : 5700 Yonge St. Toronto , Ontario
Duration:  1 year + Extension
Type: Onsite


Job Description:


Responsibilities:


  • Design, develop, test, implement, and troubleshoot: data pipelines using various tools such as Databricks, Azure Data Factory, AWS Gluecomplex data transformation procedures, data models for data warehouses and lakehouses


Experience and Skill Set Requirements:

  • 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

  • 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

  • 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.

  • 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

  • Experience working in OPS and/or public sector in general


MUST HAVES:

  • Experience using AWS Services such as Glue, StepFunctions, Lambda, S3

  • Extract/Transform/Load data using tools such as Informatica IDMC






Skills Required

  • Experience using AWS services such as Glue, StepFunctions, Lambda, S3
  • Extract/Transform/Load using tools such as Informatica IDMC
  • Programming and scripting: Python, SQL, Linux shell, PowerShell
  • Data processing with pandas and PySpark
  • Experience with Databricks and Delta Lake
  • Experience with Azure Data Factory and/or AWS Glue (ETL/orchestration tools)
  • Working knowledge of XLSX, CSV, JSON, relational databases and cloud storage
  • Experience with cloud data warehouse solutions such as Amazon Redshift
  • Data modeling and architecture (relational and dimensional modeling)
  • Experience across full SDLC including testing, deployment and production support
  • Experience with data processing orchestration/automation and change/incident management
  • Experience working in OPS and/or public sector
  • Communication, presentation, consulting, problem-solving and decision-making skills
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The Company
50 Employees

What We Do

ITProFound Inc. is a global technology services and solutions provider specializing in software development, IT consulting, and staff augmentation. They deliver end-to-end business practice solutions, including ERP, cloud migrations, and data analytics, across various industries.

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