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.
Oversee delivery of maintenance applications, refine Agile processes, manage dependencies, and coordinate releases. Collaborate with cross - functional teams to deliver high - quality solutions on time and within budget.
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