Deloitte - Azure Data Engineer - ETL/DataLake (3-9 yrs)

Key Responsibilities :

- Design and implement robust data pipelines using Azure Data Factory and Azure Databricks

- Develop and optimize ETL/ELT processes for data integration from multiple sources

- Create and maintain scalable data models following dimensional modeling best practices

- Implement data solutions using Azure Data Lake Storage for large-scale data processing

- Monitor and optimize pipeline performance, reliability, and availability

- Collaborate with architects and business teams to develop technical designs

- Ensure data quality, security, and compliance standards

Technical Requirements :

- Azure Technologies

- Advanced experience with Azure Data Factory

- Expertise in Azure Databricks

- Proficiency with Azure Data Lake Storage

- Experience with Azure Synapse Analytics

Programming & Tools :

- Strong SQL skills including complex queries and stored procedures

- Expertise in PySpark for large-scale data processing

- Python programming for data transformation and analysis

- Experience with data modeling tools and techniques

Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or related field

- 3+ years of experience in data engineering

- Proven experience in enterprise-level data warehouse implementations

- Strong understanding of data warehousing concepts (Kimball, 3NF)

- Experience working in Agile development environments

Required Skills :

- Ability to design and optimize complex data models

- Strong analytical and problem-solving capabilities

- Experience with CI/CD implementation for data solutions

- Expertise in data quality management and validation

- Excellent communication and collaboration abilities