Azure Data Engineer  

• Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.
• Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.
• Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.
• Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.
• Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.
• Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights

Qualifications:

• 3+ years of professional experience in a Data Engineering, Data Warehousing, or similar role.
• Expert proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Strong experience with a major cloud platform for data solutions mainly in Azure
• Solid programming skills in at least one modern language, preferably Python (for data manipulation, scripting, and pipeline development).
• Demonstrable experience designing and building robust ETL/ELT data pipelines using tools like Apache Airflow, dbt, or similar orchestrators.
• Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with version control systems, particularly Git.