IBM Careers: Data Engineer – Data Platforms (Google Cloud) | Hybrid Role in Hyderabad

Unleash Data Potential on Google Cloud with IBM Consulting

Position Title: Data Engineer – Data Platforms (Google)
Location: Hyderabad, Telangana, India
Company: IBM India Private Limited
Work Arrangement: Hybrid (Remote + On-site)
Employment Type: Full-Time, Regular
Department: Consulting – Data & Analytics
Job ID: 18551
Shift: General Daytime
Travel: Up to 20%

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Why This Role Matters

In today’s data-driven world, capturing and analyzing data at scale is critical for business innovation. At IBM Consulting, you’ll be at the forefront of shaping data architecture, migration, analytics, and predictive solutions for leading enterprises. This role focuses on modernizing data infrastructure by harnessing the power of Google Cloud Platform (GCP) and embedding advanced analytics in real-time.

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Who You Are

You’re a seasoned data engineer passionate about transforming data into insights. You have expertise across data ingestion, modernization, modeling, and cloud computing. You thrive in collaborative environments and take pride in building robust, scalable data systems that drive decision-making across industries.

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Role Overview

As an Associate Software Developer in IBM’s Data Platforms – Google Cloud team, you’ll design, implement, and optimize data pipelines and platforms. You’ll collaborate closely with cross-functional teams to deliver real-time insights, predictive analytics, and data-driven solutions that guide strategic business decisions.

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Key Responsibilities

1. Data Migration & Platform Modernization

• Design and convert existing databases (Hadoop, on-premise systems) to GCP (BigQuery, Cloud SQL, Firestore).

• Outline enterprise architecture roadmaps, including WBS, staffing plans, RACI, RISK/ISSUE logs.

2. Core Data Engineering

• Cleanse, integrate, and transform data efficiently and sustainably.

• Build and validate statistical, predictive, or prescriptive models.

• Use tools like Elasticsearch and Splunk for enterprise search and monitoring solutions.

• Create APIs or interfaces to expose data securely and efficiently.

3. Agile Delivery & Collaboration

• Work in Agile teams with data scientists, DBAs, consultants, and partners.

• Participate in workshops to analyze use-cases and gather requirements.

• Guide internal teams to adopt best-in-class tools and cloud-native methods.

• Communicate technical outcomes to technical and non-technical audiences.

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Required Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related fields (Preferred – Master’s degree).

• Experience: 6+ years in data engineering, data migration, or analytics roles, with strong exposure to cloud platforms.

• Technical Skills:

  • Proficient with GCP services: BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, Cloud Storage.

  • Strong SQL and database conversion expertise.

  • Fluent in Python, Java, or Scala for data processing.

  • Familiarity with ELK stack and/or Splunk for enterprise data search.

• Analytical Mindset:

  • Experience in building data models and predictive frameworks.

  • Able to define non-functional requirements: security, high availability, RTO/RPO, network, storage, and compute.

• Consulting Aptitude:

  • Excellent communication and interpersonal skills.

  • Experience interacting with internal and external stakeholders, running workshops, presenting insights.

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Preferred Qualifications

• Experience with cloud-native data governance and metadata management tools.

• Certifications in GCP Data Engineer, Professional Cloud Architect, or equivalent.

• Familiarity with hybrid architectures and data virtualization.

• Hands-on experience with DevOps pipelines for data deployments.

• Experience in realtime message brokers like Kafka or Pub/Sub.

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Core Competencies

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Tools & Technologies Stack

• GCP Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage

• Programming: Python, SQL, Java, Scala

• Data Ingestion: CDC, cloud-native streams, file transfer, APIs

• Search & Monitoring: Elasticsearch, Splunk

• ML & Analytics: TensorFlow, Scikit-learn, PySpark

• DevOps: Jenkins, Terraform, Docker, CI/CD pipelines

• APIs: RESTful services, API management

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Why Join IBM’s Data Platforms Team

• Be part of large-scale data modernization projects for top-tier enterprises.

• Leverage GCP and modern analytics to drive innovation at scale.

• Work in high-performing, agile teams with global exposure.

• Gain access to IBM’s technical training, GCP certification vouchers, and career development plans.

• Contribute to sustainability and data ethics initiatives in IBM’s transformation programs.

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Life @ IBM

• Learning Culture: Obtain access to L&D resources, mentorship, and internal tech forums.

• Hybrid Work Flexibility: Blend remote and collaborative office time.

• Inclusive Environment: Work within diverse, supportive teams.

• Impact: See your work influence real business outcomes in finance, healthcare, tech, and more.

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IBM’s Identity

IBM, with over a century of pioneering innovation, continues to lead in AI, hybrid cloud, quantum computing, and analytics. IBM Consulting supports companies worldwide in navigating digital transformation, and data is the heartbeat of this evolution.

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How to Apply

1. Customize your resume to emphasize ● cloud migrations, ● data modernization, ● GCP experience, ● predictive modeling, ● enterprise search.

2. IBM recommends applying to no more than three roles per year for a smooth recruitment experience.

3. Expect technical evaluations: data pipelines, performance tuning, and situational problem-solving.

4. Follow up with IBM’s talent team and connect via LinkedIn.

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Final Thoughts

If you’re passionate about data engineering, cloud innovation, and driving business transformation, this is your stage. Transform how enterprises leverage data, build modern data platforms, and deliver predictive insights at scale.

🔹 Apply today to join IBM as a Data Engineer – Data Platforms (Google Cloud) in Hyderabad.

Apply Here