IBM is hiring Graduate Freshers and early-career professionals for an Entry-Level position in Data & Analytics (Google) at its IBM Consulting Client Innovation Centers (Delivery Centers) in Gurgaon.
Passionate about working with data-driven solutions and leveraging modern technologies within the Google ecosystem to drive business insights and innovation. Eager to contribute to client-focused projects in a collaborative hybrid work environment while continuously enhancing technical and analytical skills.

IBM Hiring Graduate Freshers – Data & Analytics (Google)

At IBM Careers, we know technology. But technology is only as good as the results it delivers. Are you interested and adept in application development methodology and tools? The IBM Client Innovation Centre (CIC): Nova Scotia occupies a unique position in the IT marketplace – at the intersection of business and technology.

We’re looking for passionate, original thinkers who want to drive progress, grow their network, and further their careers. If you see yourself as someone who never stops learning, who believes no problem is too big to solve, and who wants to unleash their potential, an IT Specialist/Technical Consultant role is for you.

Job Overview

Job Description:

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Job Responsibilities

As a Data Engineer specializing in Google’s data platforms, you will design, build, and maintain data engineering solutions on Google’s Cloud ecosystem. This role requires expertise in utilizing various Google services for batch and real-time data pipelines, data migration, and data layer design. Your primary responsibilities will include:

• Design Data Pipelines:
• Develop Data Engineering Solutions:
• Manage Data Platforms:
• Implement Data Migration:
• Optimize Data Layer:

Eligibility Criteria:

Required education
Bachelor’s Degree
Preferred education
Master’s Degree

Years of Experience:0 – 7

Required technical and professional expertise

Google Cloud Ecosystem Expertise: Exposure to designing, building, and maintaining data engineering solutions on Google’s Cloud ecosystem, including services such as Google DataProc, DataFlow, PubSub, BigQuery, Big Table, Cloud Spanner, CloudSQL, and AlloyDB.
Data Pipeline Development Experience: Exposure to developing and managing batch and real-time data pipelines for Data Warehouse and Datalake using Google services and open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala.
Google Cloud Services Proficiency: Experience working with Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, and Google DataFlow with Apache Beam or Python to build and maintain data engineering solutions.
Data Platform Management Knowledge: Exposure to scheduling and managing the data platform using Google Cloud Scheduler and Cloud Composer (Airflow) for efficient data pipeline operations.
Data Layer Design Understanding: Experience working with data layer design using Google services such as BigQuery, Big Table, and Cloud Spanner for efficient data storage and retrieval.
Preferred technical and professional experience
Open-Source Technologies: Exposure to utilizing open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala for developing and managing batch and real-time data pipelines.
Data Migration Solutions: Experience working with Google services to develop and implement data migration solutions, ensuring seamless data transfer between systems.
Cloud Composer Expertise: Exposure to using Cloud Composer (Airflow) for scheduling and managing the data platform, ensuring efficient data pipeline operations.

Salary:

Selected candidates offer a salary between as per company norms along with benefits such as insurance, paid leaves, and training programs.

Selection Process :

• Online Application
• Resume Shortlisting
• Online Assessment
• Technical Interview
• Behavioral / HR Interview
• Offer & Onboarding

How to apply:

Click here to Submit the application and wait for further communication from the IBM recruitment team.

Note: Apply only through the official IBM website. Do not share personal or financial details with unauthorized sources.

FAQ:

Who can apply for the IBM Data & Analytics role?
Graduate freshers and candidates with 0–7 years of experience in Data & Analytics can apply.

What qualifications are required?
Candidates should have a graduate degree (B.Tech, BCA, B.Sc, B.E, MCA, or related fields). Relevant data skills are preferred.

Is prior experience mandatory?
No, freshers can apply. Experience up to 7 years in Data & Analytics is also accepted.

How can I apply?
Candidates must apply through the official IBM Careers website.

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