Source description
About the role
Client: Citius Tech | Engagement: C2C | Work mode: HYBRID | Rate: 50-80 USD | Experience: 10 | Visa types: H-1B | Publisher job id: JOB-1784755096237
Position: Data Engineer Location: Chicago, IL (3 days office) Employment: Contract
Job Description: Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices.
Responsibilities: -
Perform Develop and manage ETL processes using Python, PySpark, and SQL. Work with Databricks for data processing. Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda. Familiarity with Terraform for infrastructure management. Work with Angular for front-end integration. Collaborate on version control using Git and deployment using Octopus and Azure DevOps. Support CI/CD processes using Git, Octopus, and Azure DevOps. Work within cloud-based data engineering environments and data processing frameworks.
Mandatory skills Strong ETL Python SQL PySpark Angular for front-end development Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda) Terraform knowledge Experience with Git, Octopus, and Azure DevOps for CI/CD
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