Azure Data Engineer

3-5 Years

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Early Applicant

Job Description

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

Minimum 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.