Azure Data engineer
Core
Design, implement, and maintain data models, ETL pipelines, and data integration processes while performing in-depth analysis of structured and unstructured data sets to identify trends and patterns.
Role type
Senior Azure Data Engineer (Analytics & Engineering)
Builds
Data pipelines, data models, dashboards, and reports for business decision-making
Domain
Cloud data platforms (Azure, Snowflake, Databricks) and data analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL pipeline design, data modeling, data validation and cleansing, data visualization, Python, SQL, cloud data platforms (Azure Data Factory, Databricks, Snowflake), NoSQL databases, Microsoft SQL Server, SSIS
Preferred skills
Ali Cloud Dataphin, Tableau, Power BI, SnowPro, Databricks certification
Technologies
Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, SQL Server, SSIS, Dataphin, Tableau, Power BI, Python, SQL, SAS, R
Responsibilities
Design and implement data models and ETL processes; develop dashboards and reports to communicate insights; monitor data pipelines and databases for operational stability; resolve data quality issues and performance bottlenecks; collaborate with stakeholders to identify data needs; implement data security and compliance measures.
Seniority
Senior, hands-on IC
