Data Engineer
Averda · Dbayeh
وصف الوظيفة
About the role
Averda, a global provider of integrated waste management and environmental services, is looking for a Data Engineer. The role builds data infrastructure and analytics tools that turn large, complex data sets into actionable insights on customer acquisition, operational efficiency and other key business metrics.
Key responsibilities
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Identify, design and implement internal process improvements.
- Build the infrastructure needed for optimal extraction, transformation and loading of data from many sources.
- Build analytics tools using the data pipeline to deliver insights on customer acquisition, operational efficiency and other performance metrics.
- Work with department stakeholders to find ways to use company data to drive business solutions.
- Comply with Health, Safety and Environment policies.
Required profile
- Bachelor's degree in Computer Science, Information Technology or Applied Mathematics.
- Minimum 5 years of experience in Data Engineering or Data Science, including ETL development with tools such as Informatica PowerCenter.
- Experience writing for different audiences, including drafting policies, processes and procedures.
- Experience working with a global or multinational company in a relevant sector.
- Fluent English; French and Arabic are advantageous.
- Data engineering certification (IBM Certified Data Engineer or Google Certified Professional) preferred; PMP or Prince2 preferred.
Required skills
- Advanced SQL and Oracle relational databases, plus familiarity with Postgres and other databases.
- Big data tools such as Hadoop, Spark, Kafka and stream processing systems.
- Cloud services (MS Azure) and DevOps setup.
- NiFi, DataBricks, Azure Data Factory and similar tools.
- Informatica PowerCenter, including mappings, workflows, repository management and troubleshooting job failures.
- Python scripting to automate Informatica workflows and operational monitoring.
Questions fréquentes
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Averda
Dbayeh