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Data Engineer

Axelon

Data Engineer

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.
Vacancy posted 5 days ago
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