Notice Period : Immediate to 30 days

Role Overview :

We are looking for a highly skilled Data Engineer who will be responsible for designing, building, and optimizing scalable data pipelines on Azure, supporting sales, inventory, and business analytics use cases. The ideal candidate should have strong expertise in Azure data services, Python/PySpark, SQL, and a solid understanding of sales and inventory domain processes.

Primary Responsibilities :

- Design and develop scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and related services

- Architect and optimize solutions using Synapse (Dedicated SQL Pools, Serverless SQL Pools, Spark Pools)

- Manage Synapse workspaces, pipelines, linked services, and integration runtimes

- Develop high-performance data transformation workflows using Synapse Spark

- Build and optimize data transformations using Python and PySpark

- Develop and manage SQL-based data models for reporting and analytics

- Integrate multiple data sources (ERP, Sales, External feeds) into unified models

- Implement data quality checks, validation frameworks, and monitoring

- Support Power BI dashboards with optimized backend data models

- Work with large-scale sales and inventory datasets with performance optimization

- Collaborate with stakeholders on KPIs and business requirements

Secondary Responsibilities :

- Implement data engineering pipelines and workflows

- Configure workload management in Synapse Dedicated SQL Pools

- Support data governance, access control, and security best practices

- Optimize cost and performance across Azure services

- Provide technical documentation and knowledge transfer

- Collaborate with BI and ML teams for advanced analytics

- Support UAT, production deployment, and monitoring

Required Technical Skills :

- Strong experience with Azure Fabric, Azure Synapse Analytics, and Azure Data Factory

- Expertise in Synapse (Spark Pools, Dedicated & Serverless SQL Pools)

- Knowledge of Azure Data Lake (ADLS Gen2)

- Proficiency in Python and PySpark

- Strong SQL skills (query optimization & performance tuning)

- Experience with large sales and inventory datasets

- Strong understanding of data modeling (Star schema, Fact-Dimension)

- Experience supporting Power BI backend optimization

Soft Skills :

- Strong communication and stakeholder management

- Ability to work in a fast-paced, client-facing environment

- Strong analytical and problem-solving skills

- Ability to manage timelines independently