Gcp Data Engineer

Capco

Bengaluru, Pune District

On-site

INR 2,500,000 - 4,200,000

Full time

14 days+

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Job summary

Capco in Bengaluru is hiring a GCP Data Engineer to design scalable data pipelines on Google Cloud Platform, focusing on BigQuery, Dataflow, and Airflow. You will collaborate with cross-functional teams to deliver batch and streaming data solutions and optimize data warehouses.

Ideal candidates have 4–8 years of experience, strong Python/SQL, and hands-on ETL/ELT development with data warehousing; CI/CD and Git familiarity are required, and Terraform is a plus.

Qualifications

  • 4–8 years of experience in data engineering or related field.
  • Strong expertise in Google Cloud Platform services (BigQuery, Dataflow, Airflow) and data modeling.
  • Hands-on experience with ETL/ELT pipelines, data warehousing, and SQL/Python.
  • Knowledge of CI/CD practices and version control (Git); Terraform is a plus.

Responsibilities

  • Design and develop scalable data pipelines on GCP.
  • Build and optimize ETL/ELT workflows and BigQuery data warehouses.
  • Implement batch and streaming data solutions.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.

Skills

Python
SQL
PySpark
ETL/ELT pipeline development
Data Warehousing & Data Modeling
CI/CD
Git

Tools

GCP
BigQuery
Dataflow
Cloud Composer (Airflow)
Pub/Sub
Cloud Storage (GCS)
Terraform

Job description

Hiring: GCP Data Engineer


Experience: 4 - 8 Years
Location: Bengaluru,Pune


Required Skills:



  • Google Cloud Platform (GCP)

  • BigQuery, Dataflow, Cloud Composer (Airflow)

  • Pub/Sub, Cloud Storage (GCS)

  • Python, SQL, PySpark

  • ETL/ELT pipeline development

  • Data Warehousing & Data Modeling

  • CI/CD, Git (Terraform is a plus)


Responsibilities:



  • Design and develop scalable data pipelines on GCP.

  • Build and optimize ETL/ELT workflows and BigQuery data warehouses.

  • Implement batch and streaming data solutions.

  • Collaborate with cross-functional teams to deliver high-quality data solutions.


Preferred: Google Professional Data Engineer certification and experience with Dataproc, Looker/dbt.

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