GCP Data Engineering – Senior Programmer Analyst (Exp: 3+ Yrs to 5 Yrs)

Bilvantis Technologies; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Bilvantis Technologies in Hyderabad is seeking a GCP Data Engineer at Senior Programmer Analyst level with 3+ to 5 years of experience. You will design, build, and optimize data pipelines using BigQuery, Dataflow, DataProc, Pub/Sub, and Dataform, ensuring reliable data delivery and quality.

The role requires strong SQL and Python skills, PySpark experience, and familiarity with Airflow, Git, and CI/CD practices.

Qualifications

• 3+ years of data engineering experience.
• Strong GCP services expertise.
• Proficient in SQL and Python.
• Experience with PySpark.
• Experience with Airflow and CI/CD pipelines.
• Knowledge of Cloud SQL and Dataplex.
• Familiar with SDLC and Agile methodologies.
• Excellent communication and teamwork skills.

Skills

BigQuery

Dataflow

DataProc

Dataform

Pub/Sub

SQL

Python

PySpark

Airflow

Git

CI/CD

Cloud SQL

Dataplex

Tools

GCP services

Job description

Job Description: GCP Data Engineering – Senior Programmer Analyst (Exp: 3+ Years to 5 Years)

We are looking for a highly skilled and experienced GCP Data Engineer as a Lead Programmer Analyst.

• Experience should have 3+ years to 5 years of data engineering.
• Should have strong development skills in GCP services like BigQuery, DataProc, Dataflow, Dataform, Pub/Sub.
• Should have good knowledge in SQL.
• Should have good knowledge in Python.
• Should have good knowledge in Pyspark.
• Good Experience on Airflow, Git, CI/CD pipelines.
• Knowledge in Cloud SQL, Dataplex.
• Understanding on the SDLC.
• Understanding on the Agile methodologies.
• Communication with customer and producing the Daily status report.
• Should have good oral and written communication.
• Should be a good team player.
• Should be proactive and adaptive.
• Strong communication, Analytical & problem-solving skills.
  

Key Skills: GCP Services (BigQuery, Dataflow, Pub/Sub, Dataform, DataProc), SQL, Python, Pyspark, Airflow, CI/CD Pipelines, Git.