Azure Data Engineer
Req number:
R6875
Employment type:
Full time
Worksite flexibility:
Hybrid
CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are looking for a motivated Azure Data Engineer ready to take us to the next level! If you understand Databricks, Python, Azure Data Services, Azure DevOps, and API integrations and are looking forward to your next career move, apply now
Job Description
We are looking for Azure Data Engineer. This position will be full-time and hybrid in Bangalore.
What You’ll Do
Design, build, and optimize data ingestion and ETL/ELT pipelines using Azure Databricks and Azure Data Factory
Work extensively with Delta Lake, Structured Streaming, and Lakehouse architecture
Develop scalable PySpark and Python transformation logic for batch and streaming workloads
Design and maintain data models (Dimensional, SCD Types 1 and 2, Lakehouse schemas)
Manage data storage using Azure Data Lake Gen2, Delta tables, and Parquet formats
Integrate with REST/Graph/Custom APIs for data access and ingestion, including OAuth or managed authentication flows
Implement CI/CD pipelines for data solutions using Azure DevOps (Repos, Pipelines, Release automation)
Implement strong security practices RBAC, Key Vault, managed identities, network security
Maintain documentation, knowledge sharing, and best practices across the team
Knowledge of CI/CD for Databricks using Databricks Asset Bundles / DABs
What You'll Need
Required:
7–8 years of total experience in Data Engineering
Azure Databricks (Jobs, Workflows, SQL Warehouses, Unity Catalog)
Python / PySpark
Azure Data Factory and Azure Data Lake Storage
Azure DevOps (GIT branching, CI/CD pipelines)
API integration (REST, Graph API, token-based auth)
Strong command of SQL performance tuning, CTEs, Window functions
Knowledge of distributed systems, partitioning, and Big Data processing
Experience with Delta Lake principles (ACID, time travel, vacuum, Z-ordering)
Understanding of Data Governance concepts
Preferred:
Physical Demands
Ability to safely and successfully perform the essential job functions
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.
