Data Engineer
Data Engineer
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Job Description
Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling datadriven decisionmaking and innovation through advanced analytics and predictive modeling.
Responsibilities:
- Actively involved in onboarding data sources through data pipelines ingestion transformations data storing and orchestration of the pipelines
- Build data reporting systems
- Identify document and develop measures to visualize and record source data and data pipeline quality objectives
- Work closely with technical leads PM BA testing and reporting team on data requirements
- Contribute to agile ceremonies size tasks and deliverables.
Qualifications :
- 4 years of experience as a Data Engineer
- Proficiency in Python (pandas PySpark)
- Background and experience with tools and technologies like Databricks Data Lake Storage Snowflake Synapse Redshift Apache Spark Kimball Data Mart Azure Key Vault
- Experience with various Azure services for data processing and storage data integration and analytics with Azure Synapse Workspaces
- Understanding of Extract Transform Load (ETL) processes as well as platform monitoring and CI/CD processes
- Knowledge of one or more RDBMS (SQL Server Oracle DB2)
- Experienve with reporting and dashboard creation with Power BI and similar tools will be a plus
- Open to working in an agile environment as part of a scrum team
- Good communication skills.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions passiton sessions workshops conferences;
- WorkLife Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
Our diversity makes us stronger it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us regardless of background identity or personal characteristics feels valued respected and free from discrimination. As an equal opportunity employer we welcome applications from all individuals and base hiring decisions on merit skills qualifications and potential.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
