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Urgent Data Engineer 5 Yrs Of Exp Bangalore Immediate To 30 Days

💼 Full-time🗓 2026-07-25

Core

Designing and building scalable data warehouses, data lakes, and AI-driven automation solutions for business processes.

Role type

Senior Data Engineer (Hyper-automation & AI)

Builds

Production-grade data platforms and AI-enabled automation workflows

Domain

Hyper-automation, AI Operations, Cloud Data Engineering

Deliverable

production ML models | infrastructure

Required skills

Azure Data Lake (Blob, Delta), Azure Synapse Analytics, Databricks, SQL, Python, PySpark, CI/CD pipeline orchestration, container management (Azure Container Apps, Docker, Kubernetes), Kimball data modelling, Azure Machine Learning, Databricks ML

Preferred skills

Infrastructure-as-Code (Terraform), London market insurance domain knowledge, financial systems experience

Technologies

Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, PySpark, Azure Container Apps, Docker, Python, Terraform, Azure Machine Learning, Databricks ML

Responsibilities

Translate business requirements into effective data and analytics solutions; apply AI and machine learning techniques to data engineering challenges; deploy and manage scalable data and AI solutions using container apps; optimize advanced SQL queries for data warehousing.

Seniority

Senior, hands-on IC

Rewrite
## About the role 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 ## About the company 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 it's 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.
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