Data Engineer

Join a rapidly growing Data & AI division within a leading tech-driven organization, spearheading enterprise-level innovation across data strategy, machine learning, and scalable infrastructure. We’re building advanced, production-ready data and ML solutions that power critical products and services organization-wide.

This is a unique opportunity to work alongside top-tier data scientists and engineers, in a high-impact role where you’ll own end-to-end development of scalable data pipelines, Python services, and AI integrations — all within a modern containerized environment.

What You’ll Do:

• Design and develop robust, scalable data pipelines for batch and real-time processing across multiple sources and formats.
  
  
• Build internal Python packages and REST APIs to support data science and ML teams.
  
  
• Lead the implementation of CI/CD pipelines and automated monitoring processes.
  
  
• Integrate structured and unstructured data sources, both relational and NoSQL.
  
  
• Collaborate cross-functionally to deliver reusable infrastructure and ensure smooth deployment to production.
  
  
• Contribute to the integration of cutting-edge AI/ML tools and APIs (e.g., AWS Bedrock, OpenAI, HuggingFace).
  
  

Qualifications:

• 6+ years of hands-on development experience in Python – including code structuring and reviews.
  
  
• 4+ years working with Git, GitLab, Jenkins – strong CI/CD knowledge required.
  
  
• 3+ years developing RESTful APIs (FastAPI preferred).
  
  
• 2+ years working with containers and orchestration platforms (Kubernetes, OpenShift).
  
  
• 3+ years of experience with SQL and query optimization in platforms like MS-SQL, PostgreSQL, MySQL.
  
  
• 2+ years with NoSQL databases (MongoDB, HBase, Cassandra).
  
  
• 2+ years working with Hadoop ecosystem tools – Spark, Hive, HDFS.
  
  
• Experience with Kafka or other messaging queues – advantage.
  
  
• Background in Shell scripting, infrastructure management, and monitoring tools – advantage.
  
  

Knowledge or hands-on experience in ML/AI tools (OpenAI APIs, AWS AI services) – strong advantage.