Job code
IRC291751
Published on 4 junio 2026

GCP Cloud Migration – Senior Engineer II IRC291751

Designation

Associate Consultant

Function

Engineering

Experience

5-10 years

Location

India - Bangalore

Skills

Hadoop, Kafka, NoSQL, Spark

Work Model

On-site, Hybrid

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Description

Qualification
The candidate should have extensive production experience (3-5 Years ) in GCP, Other cloud experience would be a strong bonus.
Strong background in Data engineering 4-5 Years of experience in Big Data technologies including, Hadoop, NoSQL, Spark, Kafka etc.
Exposure to enterprise application development is a must
Roles & Responsibilities
8-12 years of IT experience range is preferred.
Able to effectively use GCP managed services e.g. Dataproc, Dataflow, pub/sub, Cloud functions, Cloud composer, Big Query, Big Table, – At least 4 of these Services.
Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs.
Good hands on expertise on either Python or Java programming.
Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM.
Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos.
Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations.
Experience in architecting and designing technical solutions based on industry standards using GCP – IaaS, PaaS and SaaS capabilities.
Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required GCP technical certifications

Requirements

Qualification
The candidate should have extensive production experience (3-5 Years ) in GCP, Other cloud experience would be a strong bonus.
Strong background in Data engineering 4-5 Years of experience in Big Data technologies including, Hadoop, NoSQL, Spark, Kafka etc.
Exposure to enterprise application development is a must
Roles & Responsibilities
8-12 years of IT experience range is preferred.
Able to effectively use GCP managed services e.g. Dataproc, Dataflow, pub/sub, Cloud functions, Cloud composer, Big Query, Big Table, – At least 4 of these Services.
Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs.
Good hands on expertise on either Python or Java programming.
Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM.
Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos.
Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations.
Experience in architecting and designing technical solutions based on industry standards using GCP – IaaS, PaaS and SaaS capabilities.
Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required GCP technical certifications

Job responsibilities

  • Qualification
    The candidate should have extensive production experience (3-5 Years ) in GCP, Other cloud experience would be a strong bonus.
    Strong background in Data engineering 4-5 Years of experience in Big Data technologies including, Hadoop, NoSQL, Spark, Kafka etc.
    Exposure to enterprise application development is a must
    Roles & Responsibilities
    8-12 years of IT experience range is preferred.
    Able to effectively use GCP managed services e.g. Dataproc, Dataflow, pub/sub, Cloud functions, Cloud composer, Big Query, Big Table, – At least 4 of these Services.
    Strong experience in Big Data technologies – Hadoop, Sqoop, Hive and Spark including DevOPs.
    Good hands on expertise on either Python or Java programming.
    Good Understanding of GCP core services like Google cloud storage, Google compute engine, Cloud SQL, Cloud IAM.
    Good to have knowledge on GCP services like App engine, GKE, Cloud Run, Cloud Built, Anthos.
    Ability to drive the deployment of the customers’ workloads into GCP and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for GCP cloud implementations.
    Experience in architecting and designing technical solutions based on industry standards using GCP – IaaS, PaaS and SaaS capabilities.
    Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
    Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required GCP technical certifications

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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