Cloud Automation Engineer



Not disclosed

Work from Office

Full Time

Min. 1 year

Job Details

Job Description

Principal Consultant - Google Cloud Platform (GCP) Data Engineer

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Principal Consultant - Google Cloud Platform (GCP) Data Engineer

In this role, Genpact is seeking an experienced and dynamic GCP Data Engineer to join our team. As a GCP Data Engineer, you will be responsible for designing, implementing, and optimizing data solutions on the Google Cloud Platform. This role requires a strong foundation in data engineering, cloud technologies, and hands-on experience with GCP services.

Key Responsibilities:

  1. Data Architecture: Design and implement scalable and efficient data architectures on Google Cloud Platform to meet business and project requirements.
  2. GCP Implementation: Lead the implementation of data solutions using GCP services such as BigQuery, Dataflow, Dataprep, and others to ensure optimal performance and reliability.
  3. Data Integration: Develop and maintain robust data integration processes, ensuring seamless data flow across various systems and platforms.
  4. ETL Processes: Design and implement ETL processes to extract, transform, and load data into GCP, ensuring data quality and accuracy.
  5. Performance Optimization: Identify and address performance bottlenecks, troubleshoot data-related issues, and implement optimizations to enhance overall system performance.
  6. Data Security and Governance: Implement data security measures and ensure compliance with data governance policies and standards.
  7. Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions.
  8. Documentation: Create and maintain comprehensive documentation for data architectures, processes, and best practices.

Qualifications we seek in you!

Minimum Qualifications

  1. Bachelor’s degree in Computer Science, Information Technology, or related field.
  2. Expertise in data engineering with a focus on Google Cloud Platform.
  3. Strong hands-on experience with GCP services such as Big Query, Dataflow, Dataprep, etc.
  4. Proficiency in programming languages such as Python, SQL, or Java.
  5. Experience with data modelling, ETL processes, and data integration.
  6. Strong analytical and problem-solving skills.
  7. Excellent communication and collaboration skills.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit . Follow us on Twitter , Facebook , LinkedIn , and YouTube .

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training .

Job role

Work location



IT & Information Security

Role / Category

IT Infrastructure Services

Employment type

Full Time


Day Shift

Job requirements


Min. 1 year

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