Data Engineer with GCP

Altimetrik; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Altimetrik in Chennai, India is hiring a Data Engineer to design, build, and maintain scalable data pipelines and data platforms on Google Cloud Platform (GCP).

You will develop data pipelines with Python, SQL, Airflow, and Pub/Sub, and build ETL/ELT solutions using BigQuery and other GCP services to support analytics.

The role requires 5–9 years of data engineering experience, strong problem solving, and the ability to collaborate with cross‑functional teams to ensure data quality and governance.

Qualifications

• 5–9 years of experience in Data Engineering.
• Hands-on with Python, SQL, BigQuery, Airflow, and Pub/Sub.
• Strong understanding of GCP data and cloud services.
• Ability to design scalable and efficient data solutions.
• Strong problem-solving and communication skills.

Responsibilities

• Develop and maintain data pipelines using Python, SQL, and Airflow.
• Build scalable ETL/ELT solutions using BigQuery and GCP services.
• Implement real-time data ingestion and processing using Pub/Sub.
• Optimize data workflows, performance, and reliability.
• Collaborate with cross-functional teams to support analytics.
• Ensure data quality, governance, and best practices.

Skills

Python

SQL

Data Engineering

GCP

Tools

BigQuery

Pub/Sub

Airflow

GCP

Job description

Job Title: Data Engineer

Experience:

5 to 9 Years

Key Skills:

Python, SQL, BigQuery, Pub/Sub, GCP, Airflow, Data Engineering

Job Description:

We are looking for a skilled Data Engineer with 59 years of experience in designing, building, and maintaining scalable data pipelines and data platforms on Google Cloud Platform (GCP).

Responsibilities:

• Develop and maintain data pipelines using Python, SQL, and Airflow.
• Build scalable ETL/ELT solutions using BigQuery and GCP services.
• Implement real-time data ingestion and processing using Pub/Sub.
• Optimize data workflows, performance, and reliability.
• Collaborate with cross-functional teams to support analytics and business requirements.
• Ensure data quality, governance, and best practices.

Requirements:

• 5–9 years of experience in Data Engineering.
• Strong hands-on experience with Python, SQL, BigQuery, Airflow, and Pub/Sub.
• Good understanding of GCP data and cloud services.
• Experience in designing scalable and efficient data solutions.
• Strong problem-solving and communication skills.