#WeAreAverda
About Averda
Averda is a leading global provider of integrated waste management and environmental services, delivering innovative, sustainable solutions to some of the world’s most complex waste challenges. Operating across multiple markets, we are committed to transforming waste into value while safeguarding the environment, supporting our communities, and driving operational excellence.
Key Responsibilities
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Work with different department stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Comply with Health, Safety and Environment policies
- Risk Management
Qualifications
- Bachelor’s Degree in Computer Science, Information Technology, or applied Math
Experience
- Minimum 5 years' experience in Data Engineering or Data Science including ETL development with tools such as Informatica PowerCenter
- Ability to write for different audiences, including drafting policies, processes and procedures
- Experience working with a global or multinational company in a relevant sector or industry
Knowledge
- Data engineering certifications - IBM Certified Data Engineer or Google's Certified Professional preferred
- PMP/ Prince2 Certification preferred
Language Proficiency
- English (fluent)
- French (advantageous)
- Arabic (advantageous)
Technical Competencies
- MS Office Suite 2017 - Advanced Proficiency
- Advanced working SQL knowledge and experience working with Oracle relational databases, query authoring (SQL) as well as working familiarity with a variety of other databases, including Postgres and with data pipeline and workflow management tools.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with MS Azure cloud services and DevOps setup and its working
- Experience with stream-processing systems and with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience with NiFI, Data Bricks, Azure Data Factory, and similar tools.
- Experience with Informatica PowerCenter including mappings, workflows and repository management.
- Ability to monitor and maintain Informatica ETL environments and troubleshoot job failures.
- Experience scripting with Python to automate Informatica workflows and operational monitoring.
If you think you have what it takes to make the world a cleaner place, if you can see value where others see waste and if you aren’t afraid of a challenge, why not start your journey with us today.
Averda welcomes candidates from all backgrounds, actively promotes diversity in the workforce, and is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED*
