Senior azure data engineer

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.