Lead Data Engineer

HIRING: GCP DATA ENGINEER | AIRFLOW | PYTHON | BIGQUERY

We are looking for an experienced GCP Data Engineer with strong hands-on expertise in Airflow, Python, and BigQuery to join our team in a 100% Remote role.

Job Details

Role: GCP Data Engineer
Experience: 8–10 Years
Location: Anywhere / Remote
Work Mode: Remote
CTC: Up to 28 LPA
Notice Period: Immediate to 15 Days

Key Responsibilities

• Design, develop, and maintain large-scale data pipelines using Airflow on GCP.
• Develop high-quality Python code to process, transform, and load data into BigQuery.
• Collaborate with cross-functional teams to understand business requirements and design scalable solutions.
• Ensure data pipelines are scalable, reliable, and high-performing.
• Monitor pipeline execution, troubleshoot issues, and implement performance improvements.
• Provide technical guidance on data engineering best practices.
• Design and maintain robust ETL/ELT workflows and data processing solutions.

Mandatory Skills

GCP / Google Cloud Platform
Apache Airflow / Cloud Composer
Python
BigQuery
Data Engineering & Data Pipelines
ETL / ELT
SQL

Good to Have

• Google Cloud Storage (GCS)
• Dataflow
• Pub/Sub
• Cloud Functions
• GCP IAM
• SQL Optimization
• Pipeline Monitoring & Performance Tuning
• CI/CD

Ideal Candidate

We are looking for candidates with strong production experience in:

Airflow + GCP + Python + BigQuery + Large-Scale Data Pipelines

Interested candidates, please share your updated CV with the below details:

• Total Experience:
• Relevant GCP Experience:
• Relevant Airflow Experience:
• Relevant Python Experience:
• Relevant BigQuery Experience:
• Current Location:
• Current CTC:
• Expected CTC:
• Notice Period:
• Last Working Day (if serving notice):

Share your CV: [email protected]

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