We are looking for a skilled Azure Data Engineer to design, develop, and optimize scalable data solutions on the Azure cloud platform. The ideal candidate should have strong expertise in Azure data services, big data technologies, and data transformation frameworks.
Primary Skills (Must Have)
Azure Databricks - Development of scalable data pipelines, Spark-based transformations, performance tuning
Azure Data Factory (ADF) - Designing and orchestrating ETL/ELT workflows
PySpark - Data processing, transformation, and optimization
SQL - Advanced querying, performance tuning, data modeling
Secondary Skills (Good to Have)
Big Data Technologies - Hadoop ecosystem exposure, distributed data processing
PL/SQL - Stored procedures, performance optimization
Python - Scripting, automation, and data manipulation
Oracle Apps Technical - Interfaces, conversions, reports, integrations
Key Responsibilities
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
Develop scalable data transformation logic using PySpark.
Optimize data workflows for performance, scalability, and reliability.
Perform data modeling and implement SQL-based transformations.
Ensure data quality, governance, and security compliance.
Collaborate with business stakeholders, analysts, and architects to translate requirements into technical solutions.
Support production deployments, monitoring, and issue resolution.
Preferred Qualifications
Experience working in Azure cloud environments.
Exposure to CI/CD for data pipelines.
Strong analytical and problem-solving skills.
Good communication and stakeholder management abilities.
azure data factory,azure databricks,etl,pyspark,sql,python,data modeling
