
Chief Data Engineering Strategist
2 weeks ago
Job Summary
Senior Data Engineer RoleWe are seeking a highly skilled Senior Data Engineer to lead the design and implementation of data engineering solutions using Spark, Py-Spark, Teradata SQL, Hive SQL, and Spark SQL.
The ideal candidate will be responsible for:
- Designing and documenting data engineering architectures to meet business requirements
- Developing performant code for data extraction, transformations, and loading using Spark, Py-Spark
- Creating data models as needed for the requirements
- Writing performant queries against Teradata and Hive databases
- Implementing dev-ops pipelines to deploy code artifacts on designated platforms/servers
- Troubleshooting issues, providing effective solutions, and monitoring jobs in production environment
Key Requirements:
- Experience in Jira and Confluence
- Healthcare domain knowledge is a plus
- Excellent work experience on Hadoop as data warehouse
- Experience in Agile and working knowledge of DevOps tools
Desirable Skills:
- Spark, Py-Spark, Shell scripting, Teradata, Hive, and Hadoop
- SQLs (using Teradata SQL, Hive SQL, and Spark SQL) and Stored Procedures
- 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, Azure/AWS integration)
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