Azure Data Engineer

Us3 Consulting

Brussel, Belgium

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.adzuna.be

Tech stack

Business Analytics Applications Microsoft Azure Information Engineering Extract Transform Load (ETL) Data Systems Data Warehousing Database Schema Python (Programming Language) Microsoft SQL Server Scrum Methodology Power BI Software Deployment

+16 more

SQL Stored Procedures SQL Databases SQL Server Reporting Services SQL Server Integration Services Data Processing Scripting Data Ingestion Azure Data Factory Apache Spark Git Data Lakes Pyspark Information Technology Azure Synapse Analytics Data Pipelines Databricks

Job description

We are seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have hands-on experience with Databricks, dbt, Apache Spark, Python, Azure Data Factory, SQL Server, and Power BI, with knowledge of SSIS/SSRS being an added advantage., * Design, build, and optimize ETL/ELT data pipelines using Azure Data Factory and Databricks.

Develop scalable data processing solutions using Apache Spark (PySpark).
Create and maintain data transformation models using dbt.
Write optimized SQL queries, stored procedures, and database objects in SQL Server.
Develop Python scripts for data ingestion, transformation, and automation.
Build and maintain data warehouses and data lakes.
Develop dashboards and reports using Power BI.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
Collaborate with business stakeholders, analysts, and developers to deliver data solutions.
Implement data quality, governance, and security best practices.
Maintain technical documentation and support production deployments.

Requirements

Strong experience with Databricks.
Hands-on experience with dbt.
Strong knowledge of Apache Spark (PySpark).
Proficiency in Python.
Experience with Azure Data Factory.
Advanced SQL Server development skills.
Experience creating reports and dashboards in Power BI.
Understanding of data warehousing concepts and ETL/ELT processes.
Experience with Git and CI/CD practices.

Preferred Skills

Experience with SSIS and/or SSRS.
Experience with Azure Synapse Analytics.
Knowledge of Delta Lake, Unity Catalog, and Azure DevOps.
Familiarity with Agile/Scrum methodologies., * Bachelor’s degree in Computer Science, Information Technology, or a related field.
3-8+ years of experience in Data Engineering or Business Intelligence.
Microsoft Azure certifications are a plus.

Requirements added by the job poster