At least 3 years of relevant experience in data engineering

Skilled in Python and able to deliver data-oriented solutions with Apache Spark

Knowledge on common DevOps related tooling such as Git, Docker

Lead Data Engineer role with significant ownership in shaping data foundation

5-7 years of experience in data engineering required

Strong skills in SQL, Python, and hands-on experience with NoSQL databases

3 years of experience as a data scientist

Skills in Python, Numpy, and data science tools

Experience with Microsoft Fabric, delta lake

Salary: 34 - 35K

Min. 2 years IT experiences in data migration or data pipelines projects.

Exposure to containerization/orchestration (Docker, Kubernetes).

Oracle Certified Professional (OCP) or higher certification

5+ years of hands-on Oracle DBA experience

Strong knowledge and experience in Oracle to Kingbase migration

Experience in Python, SQL, Spark, Azure Data Factory mandatory

Bachelor's degree in computer science, IT, Data Science required

Related Certification in Cloud Data platform is mandatory

AI Engineers, Data Engineers, and Data Scientists sought

Experience with Azure AI Search, LLMs, Kubernetes required

1-5+ years in AI/ML, Data Engineering, or enterprise application development

Use of AI coding assistants for cleaner code and faster debugging

Design and maintain scalable ETL/ELT pipelines for financial data

2+ years Data Engineering experience in fintech, banking, or trading

AI & ML Development for NLP and computer vision

Expertise in Retrieval-Augmented Generation (RAG) pipelines

Agentic AI Workflows using large language models (LLMs)