๐ƒ๐š๐ญ๐š๐Ž๐ฉ๐ฌ/๐‚๐ฅ๐จ๐ฎ๐ ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ โ€“ ๐’๐ž๐ง๐ข๐จ๐ซ

Posted via LinkedIn Recruiter (not a company profile)

Posted 2 weeks ago

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About the role

  • Senior DataOps/Cloud Data Engineer with public sector experience. Build cloud data solutions using AWS, Python, SQL, and Databricks.

Responsibilities

  • Develop and maintain data pipelines using Python, SQL, Pandas, PySpark, Databricks (Delta Lake), AWS Glue, and Informatica IDMC. Work with XLSX, CSV, JSON, relational databases, cloud storage, and structured/unstructured data sources. Build and support cloud-based data solutions using AWS services such as S3, Lambda, Step Functions, and Redshift. Design and optimize data warehouse and lakehouse architectures, including relational and dimensional data modeling. Participate in full SDLC activities, including requirements gathering, development, testing, deployment, production support, and Agile delivery.

Requirements

  • Experience working in the Public / Government sector environment.

Job type

Contractor

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

PythonSQLPandasPySparkDatabricksDelta LakeAWS GlueInformatica IDMCAWS S3AWS LambdaAWS Step FunctionsAWS Redshift

Location requirements

Linkedin Recruiter PostOntario

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