Job Title: Senior ETL Developer with AWS
Location: Dallas, TX OR Miramar, FL - Onsite (Accepting local candidates only)
Note: Only considering candidates who are open to work on a W2
Overview:
This role requires a highly skilled Databricks Platform Administrator responsible for hands-on management, optimization, and maintenance of Databricks environments on AWS. The ideal candidate will have extensive experience in data engineering, programming, and cloud-based integration platforms, ensuring seamless data flow and interoperability between various systems and applications within our organization.
Primary Responsibilities:
• Build/Design large-scale application development projects and programs with a hands-on approach.
• Ensure the technical validity of solutions and actively drive their implementation.
• Develop and maintain detailed business and technical process documentation and training materials and build/code frameworks
• Review problem logs, identify recurring issues, implement long-term solutions, and automate solutions
• Hands-on development, admin, design, and performance tuning
Minimum Qualifications:
• 5+ years of hands-on experience with a BS or MS in Computer Science or equivalent education and experience.
• 3+ years of hands-on experience in framework development and building integration layers to solve complex business use cases, with a strong emphasis on Databricks and AWS.
Technical Skills:
• Strong hands-on coding skills in Python.
• Extensive hands-on experience with Databricks for developing integration layer solutions.
• AWS Data Engineer or Machine Learning certification or equivalent hands-on experience with AWS Cloud services.
• Proficiency in building data frameworks on AWS, including hands-on experience with tools like AWS Lambda, AWS Glue, AWS SageMaker, and AWS Redshift.
• Hands-on experience with cloud-based data warehousing and transformation tools such as Delta Lake Tables, DBT, and Fivetran.
• Familiarity with machine learning and open-source machine learning ecosystems.
• Hands-on experience with integration tools and frameworks such as Apache Camel and MuleSoft.
• Solid understanding of API design principles, RESTful services, and message queuing technologies.
• Familiarity with database systems and SQL.
• Hands-on experience with Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
• Proficiency in setting up and managing Databricks workspaces, including VPC management, security groups, and VPC peering.
• Hands-on experience with CI/CD pipeline management using tools like AWS CodePipeline, Jenkins, or GitHub Actions.
• Knowledge of monitoring and logging tools such as Amazon CloudWatch, Datadog, or Prometheus.
• Hands-on experience with data ingestion and ETL processes using AWS Glue, Databricks Auto Loader, and Informatica.
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