Data Engineer

Noventiq India; Mumbai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Noventiq India in Mumbai is seeking a Data Engineer with 3–4 years of experience to design and maintain data pipelines using Microsoft Fabric.

You will optimize ETL/ELT processes, develop PySpark transformations, and work with Lakehouse and data warehousing components, collaborating with stakeholders to deliver reliable analytics capabilities.

Qualifications

• 3-4 years of experience in Data Engineering or related roles.
• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, Notebooks, etc.).
• Strong proficiency in PySpark for data processing and transformation.
• Good understanding of ETL/ELT concepts and data pipeline development.
• Experience working with SQL and relational databases.
• Basic understanding of Databricks and Spark ecosystem.
• Familiarity with data lakes and modern 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.
• Develop and maintain data transformation workflows using PySpark.
• 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 requirements for analytics and business intelligence initiatives.
• Participate in code reviews, testing, and deployment activities.
• Stay updated with emerging technologies and best practices in data engineering.

Skills

Microsoft Fabric

PySpark

SQL

ETL/ELT development

Databricks basics

Git

Cloud data architectures

Education

Bachelor's degree in Computer Science/Information Technology/Engineering

Tools

Databricks

Job description

About The Role

We are looking for a motivated and detail-oriented Data Engineer with 3-4 years of experience in data engineering and analytics solutions. The ideal candidate should have hands-on experience with Microsoft Fabric, strong PySpark skills, and a foundational understanding of Databricks. The candidate should be eager to learn, adaptable to new technologies, and passionate about building scalable data solutions.

Key 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.
• Develop and maintain data transformation workflows using PySpark.
• 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 requirements for analytics and business intelligence initiatives.
• Participate in code reviews, testing, and deployment activities.
• Stay updated with emerging technologies and best practices in data engineering.

Required Skills

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

Preferred Skills

• Exposure to Azure Data Services.
• Understanding of Delta Lake concepts.
• Experience with Power BI integration and reporting.
• Knowledge of CI/CD practices for data engineering projects.
• Familiarity with Agile/Scrum methodologies.

Educational Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Desired Candidate Profile

• Strong analytical and problem-solving skills.
• Eagerness to learn and work on new technologies.
• Good communication and stakeholder management skills.
• Self-motivated, proactive, self-self
• Ability to work in a fast-paced and collaborative environment.

Nice to Have

• Microsoft Fabric certifications.
• Exposure to cloud platforms such as Microsoft Azure.
• Basic experience with Databricks notebooks and workflows.

Location: Mumbai - NQIND, Mumbai, Maharashtra, India