TalentOla

Cloud Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer (AWS Databricks Developer) in Austin, TX (Hybrid) on a contract basis. Requires 10+ years of experience with Databricks, PySpark, Ab Initio, Teradata, AWS, and healthcare industry expertise.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
August 7, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Austin, TX
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🧠 - Skills detailed
#Artifactory #SQS (Simple Queue Service) #Scala #Data Lake #Jira #SNS (Simple Notification Service) #IAM (Identity and Access Management) #Azure #Databricks #Jenkins #PySpark #Agile #Shell Scripting #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #Data Migration #Data Engineering #Data Ingestion #"ETL (Extract #Transform #Load)" #DevOps #Data Architecture #Data Warehouse #Monitoring #Delta Lake #Scripting #GIT #SQL (Structured Query Language) #Teradata #Teradata SQL #Linux #Unix #Cloud #Ab Initio #Migration #EC2 #Spark SQL #Spark (Apache Spark) #AWS (Amazon Web Services)
Role description
Role : AWS Databricks Developer Location : Austin, TX(Hybrid) Contract role Year of experience 10+Years Mandatory skills: Databricks, PySpark , Ab Initio, Teradata ,AWS , Healthcare What is in it for you? As a AWS Databricks Developer you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards . Responsibilities: Β· Strong expertise in Databricks, Spark/PySpark, Teradata, AWS, and DevOps practices Β· While driving end-to-end data engineering initiatives in an Agile environment. Β· Key Responsibilities Collaborate with business and technical stakeholders to understand requirements and translate them into scalable data solutions. Β· Design, document, and implement cloud-native data architectures and engineering solutions. Β· Develop high-performance ETL/ELT pipelines using Spark and PySpark. Build and optimize data ingestion, transformation, and loading processes for enterprise-scale data platforms Technical Skills Β· Spark & PySpark Development Databricks (Delta Lake, Notebooks, Pipelines, Cluster Management) Β· Teradata SQL Development (Teradata SQL, Hive SQL, Spark SQL) Β· Ab Initio Shell Scripting (Unix/Linux, KSH) Β· AWS Cloud Services (S3, EC2, Lambda, Glue, SNS, SQS, ECS, IAM, CloudWatch) Data Warehouse & Data Lake Implementation CI/CD & DevOps Tools (Git, Jenkins, Artifactory) Β· Production Support & Monitoring Agile Methodologies Preferred Skills Jira & Confluence. Β· Healthcare Domain Experience Enterprise Scheduling Tools (CA7) Cloud Data Migration & Modernization Azure/AWS Integration.