Application Development Principal (Data Architect)

We’re currently partnering with a leading client to fill a Application Development Principal (Data Engineer/Architect) for 12+ Months Remote contract position. If you’re interested in exploring this opportunity, please share your updated resume with Anil at [email protected] at your earliest convenience. Title: Application Development Principal (Data Engineer/Architect) Location: Remote Duration: 12+ months Contract Client: Healthcare company Job Description: Must Have Skills: • Experience working with both business and IT leaders • Teradata • Databricks • Spark/PySpark • Person has 13-15+ years' experience that takes initiative and has command of tools...works in a consultative manner vs waiting for direction and orders. Duties: • Collaborate with business and technical stakeholders to gather and understand requirements. • Design scalable data solutions and document technical designs. • Develop production-grade, high-performance ETL pipelines using Spark and PySpark. • Perform data modeling to support business requirements. • Write optimized SQL queries using Teradata SQL, Hive SQL, and Spark SQL across platforms such as Teradata and Databricks Unity Catalog. • Implement bolthires/CD pipelines to deploy code artifacts to platforms like AWS and Databricks. • Orchestrate Databricks jobs using Databricks Workflows. • Monitor production jobs, troubleshoot issues, and implement effective solutions. • Actively participate in Agile ceremonies including sprint planning, grooming, daily stand-bolthires, demos, and retrospectives. Skills: • Strong hands-on experience with Spark, PySpark, Shell scripting, Teradata, and Databricks. • Proficiency in writing complex and efficient SQL queries and stored procedures. • Solid experience with Databricks for data lake/data warehouse implementations. • Familiarity with Agile methodologies and DevOps tools such as Git, Jenkins, and Artifactory. • Experience with Unix/Linux shell scripting (KSH) and basic Unix server administration. • Knowledge of job scheduling tools like CA7 Enterprise Scheduler. • Hands-on experience with AWS services including S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch. • Expertise in Databricks components such as bolthires Lake, Notebooks, Pipelines, cluster management, and cloud integration (Azure/AWS). • Proficiency with collaboration tools like Jira and Confluence. • Demonstrated creativity, foresight, and sound judgment in planning and delivering technical solutions. Required Skills: • Spark • PySpark • Shell Scripting • Teradata • Databricks Additional Skills: • AWS SQS; Aws S3; Aws Ec2; AWS SNS; Aws Lambda; AWS ECS; Aws Glue; AWS IAM; Aws CloudWatch • Foresight • Sound Judgment • SQL; Stored Procedures • Databricks For Data Lake/Data Warehouse Implementations • Agile Methodologies • GIT; Jenkins; Artifactory • Unix/Linux Shell Scripting; Unix Server Administration • Ca7 Enterprise Scheduler • Databricks bolthires Lake; Databricks Notebooks; Databricks Pipelines; Databricks Cluster Management; Databricks Cloud Integration (Azure/Aws) • JIRA; Confluence; Creativity Apply tot his job Apply tot his job