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Pune · On-site · 4-7 Yrs · Oct 20
1 open role1 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Job Title: GCP Data Engineer
Responsibilities
- Design and implement scalable and efficient data pipelines on GCP, leveraging Dataproc, BigQuery, Cloud Storage.
- Develop and manage ETL/ELT workflows using Apache Spark, SQL, and Python.
- Build batch and streaming data processing jobs that integrate data from various structured and unstructured sources.
- Optimize pipeline performance and ensure cost-effective data processing.
- Collaborate with data analysts, scientists, and business teams to understand data requirements and deliver high-quality solutions.
- Implement and monitor data quality checks, validation, and transformation logic.
Qualifications
- Job Type: Full-Time
- Job Summary:
- Strong hands-on experience with Google Cloud Platform (GCP)
- Proficiency with Dataproc for big data processing and Apache Spark
- Expertise in Python and SQL for data manipulation and scripting
- Knowledge of data modeling, warehousing, and pipeline best practices
- Solid understanding of ETL/ELT architecture and implementation
- Strong troubleshooting and problem-solving skills
Nice to have
- GCP Data Engineer or Cloud Architect Certification.
- Familiarity with BigQuery, Dataflow. Exposure to Agile methodologies and team collaboration tools. .
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Job application FAQ
Last updated 20 October 2026
- How do I apply for Cloud Engineer - GCP Cloud Data Engineer at Onix?
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- Is Cloud Engineer - GCP Cloud Data Engineer remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Cloud Engineer - GCP Cloud Data Engineer role at Onix?
- This is a mid-level Cloud Engineer - GCP Cloud Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.