GCP Data Engineer: BigQuery, Spark & Airflow Expert

RiseMe; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

401(k)

Paid holidays

Job summary

Infosys DNA is seeking a Technology Consultant 2 to drive data engineering projects on the Google Cloud Platform. You will contribute to requirements, design discussions, coding, and production support across SDLC phases, delivering robust data solutions with a focus on scalability and reliability.

Bring 8+ years in Data Engineering with GCP, Spark, SQL, and CI/CD. Willingness to relocate or travel to project sites in the United States is required.

Qualifications

• Strong hands-on experience with GCP.
• Expertise in BigQuery and Google Cloud Storage (GCS).
• Proficiency in Scala and/or Python for data engineering workflows.
• Strong experience with Apache Spark, Java for large-scale data processing.
• Experience with Apache Airflow for workflow orchestration.
• Advanced SQL skills for data analysis and transformation.
• Experience implementing CI/CD pipelines.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business requirements.
• Facilitate software design discussions and document design decisions for the technical team.
• Participate in coding and integrate new features into existing applications with focus on stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes.
• Develop user training programs, documentation, and support frameworks.
• Resolve production issues and recommend preventive strategies to enhance reliability.
• Maintain records of code, testing techniques, and support activities.

Skills

GCP

BigQuery

GCS

Scala

Python

Apache Spark

Java

Apache Airflow

SQL

CI/CD

Education

Bachelor’s degree

Job description

Infosys DNA is seeking a Technology Consultant 2 to drive data engineering projects on the Google Cloud Platform. You will contribute to requirements, design discussions, coding, and production support across SDLC phases, delivering robust data solutions with a focus on scalability and reliability.

Bring 8+ years in Data Engineering with GCP, Spark, SQL, and CI/CD. Willingness to relocate or travel to project sites in the United States is required.