Senior Data Engineer
4 days ago
At The MITRE Corporation, we're committed to tackling our nation's toughest challenges. As a Senior Data Engineer, you'll play a critical role in shaping our Enterprise Data Warehouse team's future. We're looking for a highly collaborative, team-oriented individual to join us in this exciting time.
Responsibilities- Design, develop, and implement robust ETL solutions using Python and PySpark to extract, transform, and load data from various sources into AWS data services.
- Optimize ETL processes for performance and scalability utilizing AWS Glue, EMR, Step Functions, and Lambda to ensure efficient data processing and timely delivery.
- Ensure data integrity and quality throughout the ETL process by implementing thorough data validation checks and error handling mechanisms.
- Manage AWS services such as Glue, EMR, Step Functions, and Lambda, including configuration, monitoring, and troubleshooting to maintain operational excellence.
- Collaborate with cross-functional teams including data engineers, data scientists, and business stakeholders to understand data requirements and deliver tailored ETL solutions.
- Troubleshoot complex technical issues and provide advanced operational support to internal MITRE customers in AWS.
- Bachelor's degree with eight years' related experience, or a master's degree with six years' related experience, preferably with a technical major such as engineering, computer science, etc.
- Self-motivated, curious, and collaborative, with a passion to learn new technologies and develop new skills.
- Demonstrated experience in developing ETL pipelines using Python and PySpark, with a strong understanding of data processing techniques.
- Expertise in SQL for data manipulation, querying, and optimization to work with various database platforms including Postgres, DynamoDB, Oracle, and Redshift.
- Hands-on experience with AWS Glue, EMR, Step Functions, and Lambda for building and orchestrating ETL workflows in a cloud environment.
- Experience implementing Continuous Integration/Continuous Deployment (CI/CD) pipelines using AWS CDK or similar tools for automating deployment and testing of ETL solutions.
- Previous experience leading or mentoring a team of developers/engineers in a collaborative environment.
- AWS certifications such as AWS Certified Developer or AWS Certified Solutions Architect, demonstrating proficiency in AWS services and best practices.
- Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka for processing large-scale datasets.
- Experience in data modeling and schema design for optimizing database performance and scalability.
- Experience working in Agile development methodologies, such as Scrum or Kanban, for iterative and collaborative project delivery.
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