Senior ETL Developer at Servsys Corporation Dallas, TX

Senior ETL Developer job at Servsys Corporation. Dallas, TX.

Location:

Dallas, TX OR Miramar, FL - Onsite (Accepting local candidates only)

Note:

Only considering candidates who are open to work on a W2

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.

• 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.

• 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.

• 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 Sage Maker, 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 Mule Soft.
• 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 Cloud Formation.
• Proficiency in setting up and managing Databricks work spaces, including VPC management, security groups, and VPC peering.
• Hands‑on experience with CI/CD pipeline management using tools like AWS Code Pipeline, Jenkins, or Git Hub Actions.
• Knowledge of monitoring and logging tools such as Amazon Cloud Watch, Datadog, or Prometheus.
• Hands‑on experience with data ingestion and ETL processes using AWS Glue, Databricks Auto Loader, and Informatica.