Azure Developer

il y a 2 semaines

Brussels, Belgique Code Convergence ltd Temps plein

Will be primarily responsible for developing, deploying and operating the Azure Databricks and Data Factory/ Data Flow product.
- Also, build and extend the Databricks cloud offering, which is based on a microservice architecture and includes: a cluster management platform Spark job scheduling, notebook services deployment and automation.
- Expert in Azure Data Factory, Azure Data Lake Analytics, Python, Spark SQL, Azure Data Bricks
- Strong SQL skills with experience in Azure SQL DW
- Experience handling Structured and unstructured datasets
- Experience in Data Modeling and Advanced SQL techniques
- Experience implementing Azure Data Factory Pipelines using latest technologies and techniques
- Use the interactive Databricks notebook environment using Apache Spark SQL, Examine external data sets, Query existing data sets using Spark SQL
- Visualize query results and data using the built-in Databricks visualization features, Perform exploratory data analysis using Spark SQL.
- ETL processing and data extraction using Azure Databricks to write a basic ETL pipeline using the Spark design pattern, Ingest data using DBFS mounts in Azure Blob Storage, Ingest data using serial and parallel JDBC reads
- Perform an ETL job on a streaming data source, Parameterize a code base and manage task dependencies, Submit and monitor jobs using the REST API or Command Line Interface
- Mange Delta lake using Data bricks to use the interactive Databricks notebook environment, Create, append and upsert data into a data lake.

**Skills and Experience**
- Overall 12-14 years of ETL development experience
- **2-4 years of development experience in cloud platform includes Azure Databricks, Azure SQL, Apache Spark (Scala/Python) etc.**:

- 2-4 years of development experience in SSIS and SQL skills.
- Excellent problem analysis and solving skills, strong communication skills.

**Primary Responsibilities**
- Develop ETL processing and Data extraction using Azur Data Factory/ Data Flow/ Azure Databricks.
- Develop Apache Spark SQL using Scala/Python to examine and query datasets.
- Develop Dataframes for ETL transformation and loads
- Write scripts for automated testing of data in the target facts and dimensions.
- Capture audit information during all phases of the ETL transformation process.
- Write and maintain documentation of the ETL processes via process flow diagrams.
- Collaborate with business users, support team members, and other developers throughout the organization to help everyone understand issues that affect the data warehouse

**Job Type**: Temporary contract
Contract length: 6 months

**Salary**: €500.00 - €550.00 per day

Schedule:

- Day shift

**Experience**:

- ETL: 10 years (preferred)
- Data warehouse: 10 years (preferred)
- Azure Data Factory: 5 years (preferred)
- Azure Databricks: 5 years (preferred)

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