Back to Browse Jobs
Cambay Solutions
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Thiruvananthapuram · On-site · 8-11 Yrs · Sep 24
51 to 200 Employees · Katy, US
5 open roles1 posted in 7d5 in 30d
Work-life balance 4.6Compensation & benefits 4.2Culture & values 4.2
Hiring: Engineering
What employees say
+ Good work life balance Cab facility is available Good management
− Probation period is quite long
More reviews on the company profile.
Job description
Overview
About Cambay Solutions:
Responsibilities
- Design, develop, and implement end-to-end data solutions using Microsoft Fabric.
- Build and manage data pipelines using Data Factory within Microsoft Fabric.
- Develop and optimize Lakehouse, Warehouse, and Real-Time Analytics solutions.
- Design and maintain scalable data models and data architectures.
- Implement data integration processes from various on-premises and cloud-based data sources.
- Create and optimize ETL/ELT processes for data transformation and loading.
- Develop semantic models and support reporting requirements using Power BI.
- Monitor, troubleshoot, and optimize data platform performance and reliability
- Implement data governance, security, compliance, and data quality standards
- Collaborate with business stakeholders, data analysts, architects, and developers to understand requirements and deliver solutions.
- Support AI, machine learning, and advanced analytics workloads leveraging Microsoft Fabric capabilities
- Document technical designs, architecture diagrams, and operational procedures.
Qualifications
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
- 8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
- Hands-on experience with Microsoft Fabric.
- Strong knowledge of:
- Fabric Lakehouse
- Fabric Data Warehouse
- Fabric Data Factory
- Fabric Real-Time Analytics
- OneLake
- Power BI
- Strong understanding of ETL/ELT design patterns and data modeling concepts.
- Knowledge of data governance, security, and access management.
- Azure Synapse Analytics
- Azure Data Factory
- Azure Data Lake Storage
- Azure Databricks
- Azure Event Hub
- Azure Stream Analytics
- Familiarity with AI/ML integration and data science workflows.
- Understanding of Medallion Architecture (Bronze, Silver, Gold layers).
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 4 October 2026
- How do I apply for Hiring: Microsoft Fabric Engineer at Cambay Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cambay Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Hiring: Microsoft Fabric Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Hiring: Microsoft Fabric Engineer remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Hiring: Microsoft Fabric Engineer role at Cambay Solutions?
- This is a mid-level Hiring: Microsoft Fabric Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.