Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).
Perform data extraction, transformation, and loading (ETL/ELT) for business reporting and analytics requirements.
Migrate databases and data workloads from AWS environments to Azure platforms.
Implement robust and scalable data solutions on Azure Cloud.
Develop automation and data processing scripts using Python.
Write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
Monitor data pipelines and troubleshoot performance bottlenecks.
Conduct database and query performance tuning to improve system efficiency.
Work closely with business stakeholders, architects, and development teams to understand data requirements.
Ensure data quality, reliability, and governance across data platforms.
Required Skills
3+ years of experience as a Data Engineer.
Robust expertise in Azure Data Factory (ADF).
Hands-on experience with SQL development and query optimization.
Proficiency in Python scripting and data processing.
Experience building and maintaining Azure data pipelines.
Experience in AWS to Azure data migration projects.
Knowledge of Azure monitoring and performance tuning practices.
Preferred Skills
Azure Synapse Analytics.
Azure Data Lake Storage (ADLS).
ETL/ELT development experience.
Azure SQL Database.
Cloud migration and modernization projects.
Data warehousing concepts and best practices.
Desired Candidate Profile
Solid analytical and problem-solving skills.
Valuable communication and stakeholder management abilities.
Ability to work independently and within Agile teams.
Proactive approach toward process improvement and automation.