Cloud Data Engineer

1 month ago

Washington, United States IT Concepts, Inc Full time
Job Title: Sr. Cloud Data Engineer

IT Concepts, Inc is seeking a highly skilled Sr. Cloud Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data and analytics platforms, system integrations, data pipelines, data models, and API integrations.

Responsibilities:
  • Collaborate with cross-functional teams to architect and implement data engineering solutions that meet business requirements.
  • Design and develop scalable and efficient data pipelines using AWS services such as S3, EC2, DMS, DataSync, SageMaker, Glue, RDS, Lambda, and Elasticsearch.
  • Develop and maintain data models, data warehouses, and data lakes using cloud-based technologies.
  • Work with data scientists and analysts to ensure data quality, integrity, and governance.
  • Lead by example and mentor junior engineers to improve data engineering skills and knowledge.
  • Stay up-to-date with emerging technologies and trends in data engineering and cloud computing.
Requirements:
  • 8+ years of experience in data engineering with a strong focus on cloud-based technologies.
  • Proven experience in designing and developing large-scale data pipelines and data architectures.
  • Strong understanding of data lake, data lakehouse, and data warehousing architectures in a cloud-based environment.
  • Proficiency in Python for data manipulation, scripting, and automation.
  • Experience with AWS services such as S3, EC2, DMS, DataSync, SageMaker, Glue, RDS, Lambda, and Elasticsearch.
  • Experience with containerization technology such as Kubernetes or Mesos.
  • Experience with database administration, optimization, and data extraction.
  • Experience with data quality management and data governance principles.
  • Strong problem-solving and troubleshooting skills related to data management challenges.
  • Experience managing code in GitHub or other similar tools.
Preferred Experience:
  • Bachelor's Degree in related field.
  • Previous experience with large-scale data migrations and cloud-based data platform implementations.
  • Prior experience with Databricks Unity Metastore/Catalog.
  • Familiarity with advanced SQL techniques for performance optimization and data analysis.
  • Knowledge of data streaming and real-time data processing frameworks such as Spark Structured Streaming.
  • Experience with data lakes and big data technologies (e.g., Apache Spark, Citus).
  • Familiarity with serverless computing and event-driven architectures in AWS.
  • Certifications in AWS, Databricks, or related technologies.
  • Experience working in Agile or DevSecOps environments and using related tools for collaboration and version control.
  • Extensive knowledge of software and data engineering best practices.
  • Strong communication and collaboration skills with internal and external stakeholders.
Clearance Requirements:
  • Must be able to obtain and maintain a Public Trust clearance.
  • Must be US Citizen.

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