About this role
- Design and develop scalable data ingestion and transformation pipelines integrating data from multiple source systems.
- Implement data cleansing, validation, and quality processes to ensure accurate, consistent, and reliable data.
- Build complex datasets and data models to support reporting, analytics, dashboards, and business decision-making.
- Analyze data and reporting requirements to identify trends, data gaps, and quality issues.
- Work closely with cross-functional teams using Agile methodology to deliver reliable and high-quality data solutions.
Requirements
- At
least 5 years of experience as an expert in Data Engineering and Analysis.
- Expertise in data ingestion, data processing
and analytical pipelines for big data, relational databases, and data
warehouse solutions
- Hands-on experience with Agile software
development
- Experience in designing and hands-on
development in cloud-based analytics solutions.
- Expert level understanding on Azure Data
Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
is required.
- Designing and building of data pipelines
using API ingestion and Streaming ingestion methods.
- Knowledge of Dev-Ops processes
(including CI/CD) and Infrastructure as code is essential.
- Thorough understanding of Azure and AWS
Cloud Infrastructure offerings.
- Expertise in Azure Databricks,
Azure Stream Analytics, Power BI is desirable
- Knowledge of SAP and BW/ BPC is desirable.
- Expert in Python, Scala, SQL is desirable
- Experience developing security models.
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