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Data Engineer
- Rutherford, New Jersey, United States
- Rutherford, New Jersey, United States
Über
$77.00 - $82.00 Negotiable based upon years of experience
Work Mode:
Hybrid Global Financial Firm located in IRVING, TX has an immediate contract opportunity for an experienced Data Engineer Responsibilities:
Partner with project managers, business stakeholders, and senior managers to translate complex business requirements into technical solutions. Drive cross-functional collaboration to ensure seamless integration of functions. Identify and implement necessary system enhancements for new products and process improvements. Lead the resolution of high-impact problems through the evaluation of business processes and system architectures. Serve as a subject matter expert in application programming and ensure adherence to architectural blueprints. Provide mentorship and technical guidance to mid-level developers and analysts. Design, develop, and maintain data pipelines using PySpark. Collaborate with data scientists and analysts to understand data requirements. Optimize Spark jobs for performance and efficiency. Implement data quality checks and ensure data integrity. Requirements:
6-10 years of experience in systems analysis and programming of software applications. Strong proficiency in Java application technologies, including TDD, Spring framework, and Microservices architecture. Extensive hands‑on experience with PySpark and Python programming skills. Experience with Big Data ecosystems, including Cloudera and/or Data Bricks. Proficiency in SQL and experience with relational and non‑relational databases. Experience with distributed query engines like Starburst (Trino/Presto). Proficient in designing and managing workflows using scheduling tools like Apache Airflow. Experience in RESTful API development and integration. Experience with job scheduling and Linux environments. Preferred Skills:
Experience with AI development tools. Interest in the financial services industry. Experience in real‑time data streaming and processing using PySpark Structured Streaming. Knowledge of machine learning concepts and MLOps practices. Familiarity with data visualization tools like Tableau or Power BI.
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Sprachkenntnisse
- English
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