Senior Data Engineer - AWS

McLean, VA, United States

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Join our Enterprise Data Warehouse team as we prepare for a major evolution in technology and process roll-out across MITRE. This is an exciting time to join the Enterprise Data Warehouse team as the use and gold source for our data evolves and grows exponentially. Your opportunity to make an impact is great as you help our team evolve to cloud-based hybrid data and real time data access. We are looking for a highly collaborative, team-oriented person to join us! A “can-do” and growth-focused attitude as well as the ability to work across more than one simultaneous project are musts!

Responsibilities include:

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

Basic Qualifications:

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.

Preferred Qualifications:

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.

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

None

Work Location Type:

Hybrid

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