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infovision inc.

Senior GCP Data Engineer

infovision inc.
Pune, India
7-9 Years
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Job Description

GCP Data Engineer

We are seeking an experienced GCP Data Engineer (Senior Level) with 7+ years of expertise in ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with GCP technologies, strong data analysis and design skills, and a deep understanding of modern Data Warehousing and Data Engineering principles.

Qualifications

  • Experience: 7+ years in ETL and Data Warehousing.
  • Proven experience in developing Data Engineering solutions using:
  • Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, etc.
  • Hands-on experience with automation in ETL tools and GCP services.
  • Successfully executed at least two end-to-end GCP Cloud Data Warehousing projects.
  • Experience in Agile/SAFe project delivery methodologies (minimum two projects).
  • Proficiency in PySpark and Teradata (mid to advanced level).
  • Working knowledge of DevOps tools such as GitHub, Jenkins, and Cloud Native services.
  • Experience handling semi-structured data formats (JSON, Parquet, XML).
  • Strong ability to write and optimize complex SQL queries for data analysis and extraction.
  • In-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Quality, and Data Mapping.
  • Excellent leadership, communication, and collaboration skills.

Certifications

  • Google Cloud Professional Data Engineer Certification (preferred).

Roles & Responsibilities

Roles & Responsibilities

  • Design, develop, and deploy data pipelines and ETL processes.
  • Implement robust data integration solutions to ensure efficient and reliable data flow across multiple systems.
  • Collaborate closely with data architects and business analysts to gather requirements and translate them into scalable technical solutions.
  • Develop and maintain data transformation and data cleansing processes to ensure high data quality and consistency.
  • Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost efficiency.
  • Lead the automation of data workflows and implement best practices for pipeline management.
  • Mentor junior engineers and contribute to defining data engineering standards and frameworks.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

About Company

infovision inc.

Job ID: 144963647

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Last Updated: 23-05-2026 07:54:14 PM
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