Job Description:

Data Engineer / Senior Data Engineer

Experience: 5 Years
Technologies: Microsoft Fabric Databricks Data Modeling

Role Overview

We are looking for an experienced Data Engineer with strong expertise in Microsoft Fabric Databricks and enterprise data modeling to design and build scalable data platforms. The candidate will be responsible for developing modern data pipelines implementing Lakehouse architectures and ensuring reliable data delivery for analytics and business intelligence.

Key Responsibilities

Data Platform & Architecture
Design and implement modern data architectures using Microsoft Fabric Lakehouse and Databricks Lakehouse.
Build scalable data pipelines for batch and real-time processing.
Develop data integration frameworks to ingest data from multiple enterprise sources.

Data Engineering
Develop and maintain ETL/ELT pipelines using Databricks PySpark and Fabric Data Factory.
Implement data ingestion frameworks from structured semi-structured and streaming sources.
Optimize Spark workloads and distributed data processing for performance and scalability.

Data Modeling
Design conceptual logical and physical data models for analytics platforms.
Implement dimensional models (Star & Snowflake schemas) for enterprise data warehouses.
Develop Lakehouse data models using Delta tables.

Microsoft Fabric
Build Lakehouse and Warehouse solutions in Microsoft Fabric.
Develop data pipelines using Fabric Data Factory.
Implement Power BI semantic models and datasets within Fabric.

Databricks
Develop scalable Spark-based transformations using PySpark / SQL.
Manage Delta Lake architecture for reliable data processing.
Implement Databricks workflows and job orchestration.

Data Governance & Quality
Implement data validation lineage and monitoring frameworks.
Ensure data security governance and compliance across the platform.

Collaboration
Work closely with data architects BI developers and business stakeholders.
Translate business requirements into scalable data solutions.

Required Skills

Core Technologies
Microsoft Fabric
Azure Databricks
PySpark / Spark SQL
SQL (Advanced)

Data Engineering
ETL / ELT pipeline development
Data Lake / Lakehouse architecture
Distributed data processing

Data Modeling
Dimensional Modeling
Data Warehouse design
Star & Snowflake schema

Cloud & Tools
Azure Data Lake Storage
Delta Lake
Git / CI/CD
Power BI (integration with Fabric)

Preferred Skills
Experience with Data Governance tools.
Knowledge of real-time streaming (Kafka / Event Hub).
Experience with DataOps / DevOps pipelines.
Understanding of medallion architecture (Bronze Silver Gold).

We transform. SAP solutions into Value

Recruiter Name:Srinija Adapa

Recruiter Email ID:

NTT DATA Business Solutions is a fast-growing international IT company and one of the worlds leading SAP partners. We are a full service provider delivering everything from business consulting to implementation of SAP solutions including hosting services and support.