Data Engineer
Axelon Services Corporation
Irving, TX, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$160,160.0 - $170,560.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Artificial Intelligence
Airflow
Software Applications
Big Data
Computer Programming
Data Validation
Data Integrity
Data Visualization
Systems Analysis
Spring Framework
Job Scheduling
+18 more
Python (Programming Language)
Linux System Administration
Machine Learning
Power BI
Cloudera
SQL Databases
Data Streaming
Tableau (Software)
Test-Driven Development (TDD)
Apache Spark
Pyspark
Non-relational Database
Machine Learning Operations
Presto
Restful APIs
Stream Processing
Databricks
Microservices
Job description
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.
Benefits & conditions
Pay Rate: $77.00 - $82.00 Negotiable based upon years of experience Work Mode: Hybrid
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