GCP Data Engineer(Immediate Joiners Only)

Lancesoft; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Lancesoft in Pune is seeking a Data Engineer to design, build and maintain scalable data pipelines on Google Cloud Platform. You will work with BigQuery, Cloud Composer and Python to enable analytics, reporting and data-driven decisions.

The role requires 4–6 years of hands-on GCP experience, collaboration with data scientists and stakeholders, and a focus on data quality, security and cost optimization.

Qualifications

• 4–6 years of hands-on experience with GCP services, especially BigQuery, Cloud Composer, and Cloud Storage.
• Strong Python skills for scripting and automation.
• Experience with Airflow DAGs, scheduling, and dependency management.
• Solid SQL and data modeling knowledge.
• Familiarity with GCP IAM, monitoring tools, and cost optimization.
• Experience with Git, JIRA, and Agile methodologies.
• Excellent problem-solving and communication abilities.

Responsibilities

• Design and implement scalable data pipelines using Cloud Composer (Airflow).
• Develop and optimize SQL queries for BigQuery to support analytics.
• Write efficient Python scripts for data transformation and orchestration.
• Collaborate with data scientists, analysts and stakeholders on data needs.
• Ensure data quality, integrity and security across pipelines and storage.
• Monitor and troubleshoot data workflows and cloud infra.
• Implement CI/CD practices for data pipelines and versioning.
• Maintain documentation for data architecture and workflows.

Skills

GCP services

BigQuery

Cloud Composer

Python

Airflow DAGs

SQL

Data modeling

GCP IAM

Monitoring tools

Cost optimization

Git

JIRA

Agile methodologies

Communication

Tools

Cloud Storage

Job description

Job Location: Pune

Job Type: WFO (5 Days)

Primary skills : GCP, Big Query, Cloud Composer, python

Job Summary:

We are seeking a highly skilled and motivated Data Engineer with 46 years of experience in Google Cloud Platform (GCP), BigQuery, Cloud Composer, and Python. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and cloud-native solutions to support analytics, reporting, and data-driven decision-making.

Key Responsibilities:

• Design and implement scalable data pipelines using Cloud Composer (Apache Airflow).
• Develop and optimize SQL queries for BigQuery to support analytics and reporting.
• Write efficient and reusable Python scripts for data transformation, automation, and orchestration.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and security across all pipelines and storage layers.
• Monitor and troubleshoot data workflows and cloud infrastructure.
• Implement CI/CD practices for data pipeline deployment and versioning.
• Maintain documentation for data architecture, workflows, and processes.

Required Skills & Quotations>Qualifications:

• 4–6 years of hands‑on experience with GCP services, especially BigQuery, Cloud Composer, and Cloud Storage.
• Strong proficiency in Python for scripting and automation.
• Experience with Airflow DAGs, scheduling, and dependency management.
• Solid understanding of SQL and data modeling concepts.
• Familiarity with GCP IAM, monitoring tools, and cost optimization strategies.
• Experience with Git, JIRA, and Agile methodologies.
• Excellent problem‑solving and communication skills.

Thanks& Regards