Data Engineer Azure

• Multinational Company |Career Progression

One of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era.

• Develop and optimize ETL processes by working closely with multiple data partners and stakeholders across the company.


• Define technical requirements and data architecture for the underlying data warehouse.


• Collaborate with subject-matter experts across different business units to design, implement and deliver insightful analytic solutions.


• Mantain and improve big data architecture.


• Experience with data integration toolsets and writing and mantaining ETL jobs.


• An understanding of how the Big Data platform will benefit the business and experience dictating this to stakeholders.

• Remote 100%


• Good salary package


• Carrer progression


• Benefits

• Degree in a quantitative field (Statistics, Mathematics, Physcs, Engineering, Computer Science...) Master's degree or PhD in any of these disciplines is a plus.


• 3+ years relevant work experience in a similar positions.


• Relational Databases proficiency is a must.


• Strong Hands-on experience in implementing Data Lake with technologies like Data Factory (ADF), ADLS, Databricks, Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview.


• Experience in using big data technologies like Hadoop (CDH or HDP), Spark, Airflow, NiFi, Kafka, Hive, HBase or MongoDB, Neo4J, Elastic Search, Impala, Sqoop etc.


• Strong programming & debugging skills either in Python and Scala/Java. Experience of building REST services is good to have.


• Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner.


• Good understand and Experience of using CI/CD with Git, Jenkins / Azure DevOps.


• Experience in setting up cloud-computing infrastructure solutions.


• Hands on Experience/Exposure to NoSQL Databases and Data Modelling in HiveAdept at DevOps & CI/CD methodologies.