Platinum Technologies is seeking a Data Engineer to design, build, and optimize data infrastructure to ensure the availability, reliability, and accessibility of data for analytics and decision-making for their Public Sector clients.
Requirements
- Strong programming skills in languages such as Python, Java, or Scala.
- Proficiency in data analysis tools and programming languages (e.g., SQL, R).
- Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow).
- Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery, Azure Data Factory).
- Proven experience in data modeling, database design, and data architecture frameworks.
- Familiarity with big data tools and platforms (e.g., Hadoop, Spark, Kafka).
- Knowledge of real-time data streaming tools (e.g., Apache Kafka, Flink).
Responsibilities
- Build and maintain scalable, reliable, and efficient data pipelines to collect, process, and store data from various sources.
- Design and implement ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting.
- Develop and maintain data models, schemas, and standards to support analytics and operational needs.
- Analyze large datasets to identify trends, patterns, and actionable insights.
- Optimize database and data pipeline performance, ensuring scalability and reliability for large datasets.
- Monitor and troubleshoot data pipeline issues, minimizing downtime and ensuring system reliability.
- Implement security measures to safeguard data and systems against unauthorized access and breaches.
Other
- This role is on-site full time in Fayetteville, NC and requires an Active DoD Top Secret clearance with SCI Eligibility.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) OR CSSLP, CISSP-ISSAP
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and collaboration skills to work effectively in cross-functional teams.
- Master’s degree in a related field or professional certifications (e.g., AWS Certified Data Analytics, DAMA Certified Data Management Professional).
