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:
Strong expertise in Databricks, Spark/PySpark, Teradata, AWS, and DevOps practices
While driving end-to-end data engineering initiatives in an Agile environment.
Key Responsibilities Collaborate with business and technical stakeholders to understand requirements and translate them into scalable data solutions.
Design, document, and implement cloud-native data architectures and engineering solutions.
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
Spark & PySpark Development Databricks (Delta Lake, Notebooks, Pipelines, Cluster Management)
Teradata SQL Development (Teradata SQL, Hive SQL, Spark SQL)
Ab Initio Shell Scripting (Unix/Linux, KSH)
AWS Cloud Services (S3, EC2, Lambda, Glue, SNS, SQS, ECS, IAM, CloudWatch) Data Warehouse & Data Lake Implementation CI/CD & DevOps Tools (Git, Jenkins, Artifactory)
Production Support & Monitoring Agile Methodologies Preferred Skills Jira & Confluence.
Healthcare Domain Experience Enterprise Scheduling Tools (CA7) Cloud Data Migration & Modernization Azure/AWS Integration
Experience: -
10+Years
Location: - Austin, TX(Hybrid)
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills:
Databricks, PySpark , Ab Initio, Teradata ,AWS , Healthcare
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