GCP Data Engineer Jobs Opening in Rapinno Tech Solutions at Hyderabad-Others, Guindy, Bangalore, Chennai, Hyderabad
Job Description
Job Summary:
We are seeking a skilled GCP Data Engineer to design, build, and maintain scalable data pipelines and infrastructure on Google Cloud Platform (GCP). The ideal candidate will be responsible for managing large datasets, transforming raw data into usable formats, and enabling data-driven decision-making across the organization.
As a GCP Data Engineer, you will collaborate with data scientists, analysts, and software engineers to ensure reliable data flow, optimize performance, and support analytics and machine learning initiatives. You should have deep expertise in cloud technologies, big data tools, and programming, especially within the GCP ecosystem.
Key Responsibilities:
1. Data Pipeline Design and Development
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Architect, build, and maintain robust ETL/ELT pipelines on GCP using services such as Dataflow, Dataproc, Cloud Composer, and Cloud Functions.
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Ingest, transform, and process large volumes of structured and unstructured data from multiple sources (databases, APIs, streaming data).
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Develop automated workflows for data ingestion, validation, and enrichment.
2. Data Storage and Management
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Design and implement data storage solutions using BigQuery, Cloud Storage, Cloud SQL, and other GCP data storage services.
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Optimize data storage schemas and partitioning strategies for performance and cost-efficiency.
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Manage data lifecycle, retention policies, and data governance practices.
3. Collaboration with Analytics and Data Science Teams
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Work closely with data analysts and data scientists to understand data requirements and provide clean, structured datasets.
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Support machine learning model development by preparing training datasets and implementing data pipelines for model deployment.
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Implement data quality checks and monitor data integrity.
4. Cloud Infrastructure and Automation
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Use Infrastructure as Code (IaC) tools like Terraform or Deployment Manager to automate GCP resource provisioning.
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Monitor and troubleshoot pipeline failures and cloud resource utilization.
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Implement security best practices, including IAM policies, encryption, and access controls.
5. Performance Optimization and Cost Management
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Monitor query performance in BigQuery and optimize SQL queries for speed and cost.
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Analyze and optimize data pipeline performance using GCP monitoring tools such as Stackdriver.
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Identify opportunities to reduce cloud costs while maintaining system reliability.
6. Documentation and Reporting
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Document data architecture, pipeline designs, and operational procedures.
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Provide regular reports on data pipeline status, data quality metrics, and infrastructure usage.
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Maintain knowledge base for best practices and lessons learned.
More information about this GCP Data Engineer Job
Please go through the below FAQs to get all answers related to the given GCP Data Engineer job
- What are the job requirements to apply for this GCP Data Engineer job position?
- Ans: A candidate must have a minimum of 3+ year experience as an GCP Data Engineer
- What is the qualification for this job?
- Ans: The candidate can be a Graduate from any of the following: BE/B.Tech
- What is the hiring Process of this job?
- Ans: The hiring process all depends on the company. Normally for an entry level, hiring the candidate has to go for Aptitude, GD (If they look for communication),Technical test and face to face interviews.
- This GCP Data Engineer is a work from home job?
- Ans: No ,its not a Work from Home Job.
- How many job vacancies are opening for the GCP Data Engineer position?
- Ans: There are immediate 1 job openings for GCP Data Engineer in our Organisation.
Job Particulars
About Company
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BE/B.Tech 
