** Urgent ** Azure Data Engineer / 5+ years of Exp /ADF/Pyspark/SQL

About Senzcraft:

Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies.

Please visit our website - https://www.senzcraft.com for more details

• Our AI Operations SaaS platform https://MagicOps.ai
• Senzcraft on linkedin -> https://www.linkedin.com/company/senzcraft

Senzcraft is awarded by Analytics India Magazine in its report State of AI in India as a Niche AI startup. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

Location: Bangalore (Hybrid)

Experience: 5+ Years

Must Have Skills

• Extensive hands-on experience with Azure Data Lake (including Blob Storage and Delta), Azure Synapse Analytics, and Databricks.
• Proven expertise in SQL/Azure SQL data warehousing and advanced query optimisation.
• Strong background in data engineering practices, including release management, environment controls, and CI/CD pipeline orchestration.
• Proficiency in Python and Spark for data processing and automation.
• Ability to translate business requirements into effective data and analytics solutions, working directly with stakeholders.
• Proven expertise in applying AI and machine learning techniques to data engineering challenges, with a track record of delivering automation and innovation through production grade AI-driven solutions.
• Experience with container apps (e.g., Azure Container Apps, Docker, or Kubernetes) for deploying and managing scalable data and AI solutions.

Highly Desirable Skills and Knowledge

• Knowledge of London market insurance
• Extensive experience in designing and building data warehouses and data lakes
• Experience working with financial systems and business processes
• Experience with Infrastructure-as-Code (e.g., Terraform)
• Agile development techniques (SCRUM, Kanban, etc.)

Required Toolsets

• Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, PySpark, Azure Container Apps, Docker, Python
• Kimball data modelling
• Experience with AI and machine learning toolsets and frameworks relevant to data engineering, such as Azure Machine Learning, Databricks ML, or similar platforms