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Genpact Hiring For GCP Delivery Architect

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 Genpact Hiring For GCP Delivery Architect

Job Description


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 GCP Senior Data Engineer / Senior Principal Consultant
We are seeking a highly accomplished and strategic Google Cloud Data Engineer with over 12 years of deep experience in data engineering, with a significant and demonstrable focus on the Google Cloud Platform (GCP).
In this role, you will be instrumental in driving our overall data strategy on GCP, architecting transformative data solutions, and providing expert guidance to engineering teams. You will be leveraging GCP's advanced data services to solve complex business challenges, optimize our data infrastructure at scale, and foster a culture of data excellence.Responsibilities

  • Architect and oversee the development of highly scalable, resilient, and cost-effective data platforms and pipelines on GCP, leveraging services like BigQuery, Dataflow, Cloud Composer, DataProc, and more.
  • Provide expert-level guidance and technical leadership to senior data engineers and development teams on best practices for data modeling, ETL/ELT processes, and data warehousing within GCP.
  • Drive the adoption of cutting-edge GCP data technologies and methodologies to enhance our data capabilities and efficiency.
  • Lead the design and implementation of comprehensive data governance frameworks, security protocols, and compliance measures within the Google Cloud environment.
  • Collaborate closely with executive leadership, product management, data science, and analytics teams to translate business vision into robust and scalable data solutions on GCP.
  • Identify and mitigate critical technical risks and challenges related to our data infrastructure and architecture on GCP.
  • Establish and enforce data quality standards, monitoring systems, and incident response processes within the GCP data landscape.
  • Mentor and develop senior data engineers, fostering their technical expertise and leadership skills within the Google Cloud context.
  • Evaluate and recommend new GCP services and third-party tools to optimize our data ecosystem.
  • Represent the data engineering team in strategic technical discussions and contribute to the overall technology roadmap.

Qualifications we seek in you!
Minimum Qualifications / Skills

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 12+ years of progressive and impactful experience in data engineering roles, with a significant and deep focus on the Google Cloud Platform.
  • Expert-level knowledge of GCP's core data engineering services and best practices for building scalable and reliable solutions.
  • Proven ability to architect and implement complex data warehousing and data lake solutions on GCP (BigQuery, Cloud Storage).
  • Mastery of SQL and extensive experience with programming languages relevant to data engineering on GCP (e.g., Python, Scala, Java).
  • Deep understanding of data governance principles, security best practices within GCP (IAM, Security Command Center), and compliance frameworks (e.g., GDPR, HIPAA).
  • Exceptional problem-solving, strategic thinking, and analytical skills, with the ability to navigate complex technical and business challenges.
  • Outstanding communication, presentation, and influencing skills, with the ability to articulate complex technical visions to both technical and non-technical audiences, including executive leadership.
  • Proven track record of leading and mentoring high-performing data engineering teams within a cloud-first environment.


Preferred Qualifications/ Skills

  • Google Cloud Certified Professional Data Engineer.
  • Extensive experience with infrastructure-as-code tools for GCP (e.g., Terraform, Deployment Manager).
  • Deep expertise in data streaming technologies on GCP (e.g., Dataflow, Pub/Sub, Apache Beam).
  • Proven experience in integrating machine learning workflows and MLOps on GCP (e.g., Vertex AI).
  • Significant contributions to open-source data projects or active participation in the GCP data engineering community.
  • Experience in defining and implementing data mesh or data fabric architectures on GCP.
  • Strong understanding of enterprise architecture principles and their application within the Google Cloud ecosystem.
  • Experience in [mention specific industry or domain relevant to your company].
  • Demonstrated ability to drive significant technical initiatives and influence organizational data strategy.


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. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
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 Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Genpact
Location(s): Kolkata

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Keyskills:   Airflow gcp data engineer Bigquery Data Flow Gcp Cloud cloud composer ETL SQL Python

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