Senior ETL Developer at Servsys Corporation Dallas, TX

Senior ETL Developer job at Servsys Corporation. Dallas, TX. 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. #J-18808-Ljbffr Downtown Boulder Partnership