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Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Rôle et responsabilités


A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks.
Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll do: As a Data Engineer – Data Platform Services, responsibilities include:
Data Ingestion & Processing
• Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake.
• Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark).
• Working with IBM CDC and Universal Data Mover to manage data replication and movement.
Big Data & Data Lakehouse Management
• Implementing Apache Iceberg tables for efficient data storage and retrieval.
• Managing distributed data processing with Cloudera Data Platform (CDP).
• Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies.
Optimization & Performance Tuning
• Optimizing Spark and PySpark jobs for performance and scalability.
• Implementing data partitioning, indexing, and caching to enhance query performance.
• Monitoring and troubleshooting pipeline failures and performance bottlenecks.
Security & Compliance
• Ensuring secure data access, encryption, and masking using Thales CipherTrust.
• Implementing role-based access controls (RBAC) and data governance policies.
• Supporting metadata management and data quality initiatives.
Collaboration & Automation
• Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions.
• Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus.
• Supporting Denodo-based data virtualization for seamless data access.

Formation requise
Baccalauréat
Formation souhaitée
Maîtrise
Expertise professionnelle et technique requise

6-10 years of experience in big data engineering, data processing, and distributed computing.
• Proficiency in Apache Spark, PySpark, Kafka, Iceberg, and Cloudera Data Platform (CDP).
• Strong programming skills in Python, Scala, and SQL.
• Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM).
• Knowledge of data security, encryption, and compliance frameworks.
• Experience working with metadata management and data quality solutions.

Expertise professionnelle et technique souhaitée

Experience with data migration projects in the banking/financial sector.
• Knowledge of graph databases (DGraph Enterprise) and data virtualization (Denodo).
• Exposure to cloud-based data platforms (AWS, Azure, GCP).
• Familiarity with MLOps integration for AI-driven data processing.
• Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics.
• Architectural review and recommendations on the migration/transformation solutions.
• Experience working with Banking Data model.
• “Meghdoot” Cloud platform knowledge.

L'unité commerciale

IBM Consulting est l'activité de conseil et de services professionnels mondiaux d'IBM, avec des capacités de pointe dans la transformation des entreprises et des technologies. Avec une expertise approfondie dans de nombreux secteurs, nous offrons des services de stratégie, d'expérience, de technologie et d'exploitation à un grand nombre des entreprises les plus innovantes et les plus précieuses du monde. Nos collaborateurs se concentrent sur l'accélération des activités de nos clients grâce au pouvoir de la collaboration. Nous croyons au pouvoir de la technologie utilisée de manière responsable pour aider les gens, les partenaires et la planète.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Autres détails pertinents sur le poste

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.