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The role covers the current big data ecosystem and continues to evolve to incorporate modern data engineering practices, including cloud platforms, real-time data processing, and AI-enabled data architectures.
The role covers the current big data ecosystem and continues to evolve to incorporate modern data engineering practices, including cloud platforms, real-time data processing, and AI-enabled data architectures.
Advanced Python
Python libraries ( Pandas, NumPy )
Strong SQL
Bash / Shell scripting
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Experience with big data and distributed processing technologies: Apache Hadoop Apache Hive Apache Kafka Apache Spark
Apache Hadoop
Apache Hive
Apache Kafka
Apache Spark
Understanding of batch and streaming data processing
Exposure to data pipeline design and data workflows
Building and maintaining data pipelines
Understanding of data modelling and scalable data systems
Awareness of data quality, validation, and governance
Understanding of how data platforms support analytics and machine learning workloads
Experience preparing datasets for ML/AI use cases
Awareness of how data quality impacts model performance
MS Excel
ETL / Data Warehousing
Linux / Linux Administration
Basic Networking and IT Security
Experience with ServiceNow, JIRA, Confluence
Experience with: Snowflake, AWS , Microsoft Azure , or Google Cloud Platform
Snowflake, AWS , Microsoft Azure , or Google Cloud Platform
Familiarity with cloud-native data services
Streaming and event-driven architectures
Feature engineering and feature store concepts
Awareness of: The data lifecycles in AI applications Vector databases and embeddings Retrieval-Augmented Generation (RAG) Working with unstructured data
The data lifecycles in AI applications
Vector databases and embeddings
Retrieval-Augmented Generation (RAG)
Working with unstructured data
Understanding of data privacy, security, and ethical considerations
Ability to clearly explain complex technical concepts
Strong passion for teaching and mentoring
Ability to translate industry trends into practical training content
Strong communication and stakeholder management skills
The role currently includes training across the Hadoop ecosystem (Hadoop, Hive, Kafka, Spark), with a growing emphasis on cloud-native platforms, real-time processing, and AI-enabled data engineering as industry demand evolves.
FDM powers the people behind tech and innovation. We spot trends, find top talent, and help businesses stay ahead.
With 35+ years of experience, we coach, mentor, and launch fresh thinkers from diverse backgrounds into world-class careers. Partnering with top global companies, we deliver the right talent at the right time—while guiding our people toward exponential growth.
🌍 Global impact – 18 centers across North America, APAC, the UK, and Europe 🚀 25,000+ careers launched – and counting 🤝 300+ trusted client partners
Tech careers should be for everyone . With 75+ nationalities represented, FDM thrives on diversity, fuels innovation through unique perspectives, and celebrates success together. As an Equal Opportunity Employer and FTSE4Good-listed company, we ensure every qualified applicant gets a fair shot—no barriers, just opportunities.
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Provides IT consulting, technical training, and staff augmentation services.
Visit company websiteJobs and hiring trendsFull-time
Senior
Onsite
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