Cloud Engineer (Data Engineer)

Cloud Engineer (Data Engineer)Austin, TX - 3 days onsite 6+ Months ContractJob Description:Work with business and technical leadership to understand requirements.Design to the requirements and document the designs.Ability to write product-grade performant code for data extraction, transformations and loading using Spark, PySpark.Do data modeling as needed for the requirements.Write performant queries using Teradata SQL, Hive SQL and Spark SQL against Teradata and DataBricks Unity dev-ops pipelines to deploy code artifacts on to the designated platform/servers like AWS or DataBricks job orchestration using the issues, providing effective solutions and jobs monitoring in the production environment.Participate in sprint planning sessions, refinement/story-grooming sessions, daily scrums, demos and retrospectives.Required:Strong development experience in Spark, PySpark, Shell scripting, Teradata, and with AbInitio is required.Strong experience in writing complex and effective SQLs (using Teradata SQL, Hive SQL and Spark SQL) and Stored Procedures.Proficiency in Shell Scripting for automation, system administration, and data processing tasks.Excellent work experience on DataBricks as data warehouse/Data Lake in Agile and working knowledge on DevOps tools (Git, Jenkins, Artifactory) Unix/Linux Shell scripting (KSH) and basic administration of Unix servers CA7 Enterprise Scheduler AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch) Databricks (Delta lake, Notebooks, Pipelines, cluster management, Clienture/AWS integration).Hands-on experience working with Teradata, including data modeling, SQL development, performance tuning, and large-scale data management.Experience in Jira and Confluence Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering experience developing large-scale data processing solutions using Apache Spark and PySpark.Desired:Health care domain knowledge.