Data Engineer – Java, Spark, Google Cloud Platform & Airflow

Implementation Partner: Infosys
Position: Data Engineer
Rate: $55/hr C2C
Locations: Bentonville, AR / Richardson, TX / Raleigh, NC / Hartford, CT / Indianapolis, IN
Work Arrangement: Onsite
Candidate Requirement: Local candidates required
Visa: Any Visa

Job Summary

Infosys, as the implementation partner, is looking for an experienced Data Engineer to support a client project. The ideal candidate will have strong hands-on experience with Java, Apache Spark, Google Cloud Platform (Google Cloud Platform), and Apache Airflow.

The candidate should be particularly strong in Java and Spark development, with solid practical experience building and managing data pipelines on Google Cloud Platform and orchestrating workflows using Airflow.

Required Skills

• Strong hands-on experience with Java and object-oriented programming.

• Strong hands-on experience with Apache Spark, preferably using Java.

• Strong experience with Google Cloud Platform (Google Cloud Platform).

• Strong experience with Apache Airflow for workflow orchestration and scheduling.

• Experience designing and developing scalable data pipelines.

• Strong understanding of ETL/ELT processes and data integration.

• Experience with distributed data processing using Apache Spark.

• Experience troubleshooting and optimizing Spark applications.

• Strong understanding of data engineering concepts and cloud-based data platforms.

• Experience working in Agile/Scrum environments.

• Strong analytical and problem-solving skills.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Java and Apache Spark.

• Develop Spark-based applications for large-scale distributed data processing.

• Build and maintain workflow orchestration using Apache Airflow.

• Develop and deploy data engineering solutions on Google Cloud Platform.

• Integrate data from multiple sources into cloud-based data platforms.

• Monitor data pipelines and troubleshoot failures and performance issues.

• Optimize Spark jobs and data processing workflows.

• Implement data quality and validation processes.

• Participate in code reviews, testing, deployment, and production support.

• Collaborate with developers, architects, data analysts, and other engineering teams.

• Follow Agile development practices and established engineering standards.

Core Technical Requirements

Candidate Requirements

• Candidates must be local/near-local to one of the following locations:

  • Bentonville, AR

  • Richardson, TX

  • Raleigh, NC

  • Hartford, CT

  • Indianapolis, IN

• Any Visa is acceptable.

• Strong candidates must demonstrate hands-on experience with Java + Spark + Google Cloud Platform + Airflow.

• Java and Spark are critical requirements for this position.

• Candidates with limited or theoretical Spark/Java experience should not be considered.

Compensation

Rate: $55/hr C2C

Implementation Partner: Infosys