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Cloud Data Engineer – GCP + Python

0 - 8 years

0 Lacs

Pune, Maharashtra

Posted:1 week ago| Platform: Indeed logo

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Skills Required

data gcp python finance sql analytics etl pyspark composer dataflow storage reporting automate airflow code reliability architecture engineering workflow orchestration automation writing

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Cloud Data Engineer – GCP + Python Job Type: Full Time Industry: Banking & Finance Location: Pune, Maharashtra, India (Hybrid/On-site) Job Summary: We are hiring a skilled Cloud Data Engineer with expertise in Google Cloud Platform (GCP), Python, and advanced SQL . You'll work on building scalable, cloud-native data pipelines and automating data workflows for enterprise-scale analytics and banking projects. Key Responsibilities: Build and maintain robust ETL pipelines using Python and PySpark Develop data workflows using BigQuery, Cloud Composer, Dataflow , and Cloud Storage Write and optimize complex SQL queries for transformation and reporting Automate workflows with Airflow/Cloud Composer Collaborate with analysts, architects, and business teams Ensure code quality, reliability, and secure data practices Contribute to scalable, high-performance cloud data architecture Requirements: 5–8 years in Data Engineering or Cloud Data roles Strong hands-on experience with GCP services (BigQuery, Cloud Storage, Composer) Proficiency in Python and PySpark Advanced SQL skills and experience with CI/CD tools Working knowledge of workflow orchestration (Airflow preferred) Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Application Question(s): How many years of hands-on experience do you have with Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, or Dataflow? Are you proficient in Python for building ETL pipelines and automation workflows? Do you have prior experience working in the banking or financial services domain? Which orchestration tool(s) have you used in a production environment? Rate your expertise in writing and optimizing SQL for data transformation. Work Location: In person Application Deadline: 13/06/2025 Expected Start Date: 16/06/2025

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