Senior azure data engineer
Kagool · Tumakuru, India
FULL TIMEpermanent
Job Description
About Kagool
Kagool is a global IT services and consulting company specialising in enterprise digital transformation, with strong expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services.
Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage.
Role Overview
We are hiring a Senior Azure Data Engineer with strong hands-on expertise in Azure data platforms and proven experience delivering complex enterprise data solutions. This role requires deep technical capability along with mentoring and partial ownership of solution delivery.
Key Responsibilities
Design and implement scalable data pipelines and modern data platforms
Develop ETL/ELT workflows using ADF, Synapse, and Databricks
Build and optimize lakehouse architectures
Mentor junior engineers and review code
Collaborate with business stakeholders and solution architects
Ensure data quality, governance, and performance tuning
Support Dev Ops implementation (CI/CD pipelines)
Contribute to solution design and technical discussions
Required Experience (7–10 Years)
7+ years in data engineering / data warehousing
7+ years of Azure data platform experience
Strong in:
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake
Azure Databricks (Py Spark)
Advanced SQL, Python/Py Spark
Hands-on experience with large-scale data processing
Strong data modelling (dimensional + normalized)
Mandatory Certifications:
Microsoft Certified: Azure Data Engineer Associate (DP-203) (Mandatory)
Databricks Certified Data Engineer Professional
Required Skills
Azure data services (ADF, ADLS, Synapse, Databricks)
Py Spark, SQL, Python
Performance optimization
CI/CD (Azure Dev Ops)
Data warehousing & lakehouse design
Preferred Candidate Profile
Immediate joiners preferred
Exposure to global delivery environments
Ability to mentor and guide team members
Career at Kagool
A career at Kagool offers a progressive and growth-focused environment where talented professionals can work on meaningful enterprise transformation programmes. Employees have plenty of opportunities to collaborate with global teams, contribute to innovative solutions, and develop expertise across modern data, cloud, SAP, AI, and analytics technologies. We encourage continuous learning, upskilling, and career progression, giving team members the opportunity to take ownership, expand their capabilities, and grow along with the business.
Kagool is a global IT services and consulting company specialising in enterprise digital transformation, with strong expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services.
Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage.
Role Overview
We are hiring a Senior Azure Data Engineer with strong hands-on expertise in Azure data platforms and proven experience delivering complex enterprise data solutions. This role requires deep technical capability along with mentoring and partial ownership of solution delivery.
Key Responsibilities
Design and implement scalable data pipelines and modern data platforms
Develop ETL/ELT workflows using ADF, Synapse, and Databricks
Build and optimize lakehouse architectures
Mentor junior engineers and review code
Collaborate with business stakeholders and solution architects
Ensure data quality, governance, and performance tuning
Support Dev Ops implementation (CI/CD pipelines)
Contribute to solution design and technical discussions
Required Experience (7–10 Years)
7+ years in data engineering / data warehousing
7+ years of Azure data platform experience
Strong in:
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake
Azure Databricks (Py Spark)
Advanced SQL, Python/Py Spark
Hands-on experience with large-scale data processing
Strong data modelling (dimensional + normalized)
Mandatory Certifications:
Microsoft Certified: Azure Data Engineer Associate (DP-203) (Mandatory)
Databricks Certified Data Engineer Professional
Required Skills
Azure data services (ADF, ADLS, Synapse, Databricks)
Py Spark, SQL, Python
Performance optimization
CI/CD (Azure Dev Ops)
Data warehousing & lakehouse design
Preferred Candidate Profile
Immediate joiners preferred
Exposure to global delivery environments
Ability to mentor and guide team members
Career at Kagool
A career at Kagool offers a progressive and growth-focused environment where talented professionals can work on meaningful enterprise transformation programmes. Employees have plenty of opportunities to collaborate with global teams, contribute to innovative solutions, and develop expertise across modern data, cloud, SAP, AI, and analytics technologies. We encourage continuous learning, upskilling, and career progression, giving team members the opportunity to take ownership, expand their capabilities, and grow along with the business.
Details
| Company | Kagool |
| Location | Tumakuru, India |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |