Agile Programming Methodologies, Architectural Services, Artificial Intelligence (AI), Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Lake, Data Management, Data Modeling, Data Storage, Database Extract Transform and Load (ETL), DevOps, Git, Leadership, Microsoft Windows Azure, Problem Solving Skills, SQL (Structured Query Language), Scrum Project Management and Software Development, Team Lead/Manager
Job Title: Lead Azure Data Engineer
Work Location & Reporting Address: Houston, TX 77079
Note : It will be work from office (minimum 3 days in week) and Candidate should be willing to come to Houston on Day 1 after selection.
Job Details:
Required Skills & Qualifications
Technical Skills- Strong experience with Azure Data Platform, including:
- Azure Data Factory
- Azure Databricks
- Azure Data Lake Storage (ADLS Gen2)
- Azure Notebooks
- Hands-on expertise with:
- ETL / ELT pipeline design
- Delta Lake tables and ACID transactions
- Spark (PySpark, Spark SQL)
- Data modeling for analytics and AI
- Strong SQL skills and data modeling experience.
- Experience with CI/CD for data pipelines (Azure DevOps, Git).
- Exposure to GenAI and LLM data patterns (RAG, embeddings, text pipelines).
- Familiarity with supporting AI/ML workflows, including:
- Feature engineering
- Model training data preparation
- Inference data pipelines
- Leadership & Delivery Skills
- Proven ability to lead teams and deliver complex data platforms.
- Strong architectural thinking and problem-solving skills.
- Promote AI-first data design principles across teams.
- Excellent communication and stakeholder management abilities.
- Experience working in Agile/Scrum environments.
- Enable upskilling of teams in AI-friendly data engineering patterns.
Minimum years of experience
> 10 years
Certifications Needed :Yes
BE
Interview Process (Is face to face required?) Yese
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