Data Engineer

Noventiq India, Ltd.; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Noventiq India, Ltd. is seeking a motivated Data Engineer with 3–4 years of experience to design and maintain scalable data pipelines using Microsoft Fabric and PySpark. You will collaborate with analysts and stakeholders to deliver reliable data solutions and support BI initiatives.

The role covers ETL/ELT development, data lakehouse components, and performance tuning, with exposure to Databricks notebooks and Power BI integration. Mumbai-based, full-time, fast-paced environment.

Qualifications

• 3–4 years of experience in Data Engineering or related roles.
• Hands-on with Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, Notebooks).
• Strong proficiency in PySpark for data processing.
• Good understanding of ETL/ELT concepts.
• Experience with SQL and relational databases.
• Basic understanding of Databricks and Spark ecosystem.
• Familiarity with data lakes and cloud-based data architectures.
• Knowledge of data quality, performance tuning, and optimization techniques.
• Experience with version control tools such as Git.

Responsibilities

• Design, develop, and maintain data pipelines using Microsoft Fabric.
• Build and optimize ETL/ELT processes for ingesting, transforming, and loading data from multiple sources.
• Work with Lakehouse, Data Warehouse, and Data Factory components within Microsoft Fabric.
• Collaborate with business stakeholders, analysts, and data teams to understand data requirements.
• Ensure data quality, consistency, and reliability across data platforms.
• Monitor and troubleshoot data pipeline performance and resolve issues proactively.
• Support data modeling and reporting needs for analytics and BI initiatives.
• Participate in code reviews, testing, and deployment activities.
• Stay updated with emerging technologies and best practices in data engineering.

Skills

PySpark

SQL

Data modeling

ETL/ELT

Git

Databricks basics

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Microsoft Fabric

Databricks

Power BI

Azure

Git

Job description

3 - 6 Years

Full-Time

Job Description

About the Role

We are looking for a motivated and detail-orientedData Engineer with 3–4 years of experience in data engineering and analyticssolutions. The ideal candidate should have hands‑on experience with MicrosoftFabric, strong PySpark skills, and a foundational understanding of Databricks.The candidate should be eager to learn, adaptable to new technologies, andpassionate about building scalable data solutions.

Key Responsibilities

• Design,develop, and maintain data pipelines using Microsoft Fabric.


• Buildand optimize ETL/ELT processes for ingesting, transforming, and loadingdata from multiple sources.


• Workwith Lakehouse, Data Warehouse, and Data Factory components withinMicrosoft Fabric.


• Collaboratewith business stakeholders, analysts, and data teams to understand datarequirements.


• Ensuredata quality, consistency, and reliability across data platforms.


• Monitorand troubleshoot data pipeline performance and resolve issues proactively.


• Supportdata modeling and reporting requirements for analytics and businessintelligence initiatives.


• Participatein code reviews, testing, and deployment activities.


• Stayupdated with emerging technologies and best practices in data engineering.

Required Skills

• 3–4years of experience in Data Engineering or related roles.


• Hands-onexperience with Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse,Notebooks, etc.).


• Strongproficiency in PySpark for data processing and transformation.


• Goodunderstanding of ETL/ELT concepts and data pipeline development.


• Experienceworking with SQL and relational databases.


• Basicunderstanding of Databricks and Spark ecosystem.


• Familiaritywith data lakes and modern cloud-based data architectures.


• Knowledgeof data quality, performance tuning, and optimization techniques.


• Experiencewith version control tools such as Git.

Preferred Skills

• Understandingof Delta Lake concepts.


• Experiencewith Power BI integration and reporting.


• Knowledgeof CI/CD practices for data engineering projects.


• Familiaritywith Agile/Scrum methodologies.

Educational Qualifications

• Bachelor'sdegree in Computer Science, Information Technology, Engineering, or arelated field.

Desired Candidate Profile

• Stronganalytical and problem-solving skills.


• Eagernessto learn and work on new technologies.


• Goodcommunication and stakeholder management skills.


• Self-motivated,proactive, and a strong team player.


• Abilityto work in a fast-paced and collaborative environment.

Nice to Have

• MicrosoftFabric certifications.


• Exposureto cloud platforms such as Microsoft Azure.


• Basicexperience with Databricks notebooks and workflows.

Job Snapshot

Updated Date

27-07-2026

Job ID

Job_1929

Department

Location