Data Engineer
4 semanas atrás
Description
Extract-Transfer-Load (ETL) jobs for model building, dashboarding, pilots, and scaling up
Ensures data validity for every use case in AA
Integrates models and process
Responsibilities
Data Master (source of truth for Advanced Analytics CoE data)
Designs and Implements ETL based on jointly defined requirements along data pipeline
Brings experience of Oracle, Data Ware Houses, and Data Lakes to development team Integrator
Integrates and automates models to process
Performance Management
KPIs & Performance management based on satisfaction of AA team towards data quality
Promote and Support Data Quality initiatives
Understand user requirements that may improve the ability to delivering value with the Analytics use cases
Enable all relevant Customer Journey data points
Qualifications
Minimum experience:
10 years’ of overall experience
Exposure to one of Big Data and Database platforms e.g. SQL Server, Hadoop, Map/Reduce, Spark, HBase, CouchDB, Hive, Pig, Azure Ecosystem, etc.
Worked one of TeraData, Oracle, MySQL, Informatica, Power BI, Tableau, QlikView or similar reporting and BI packages
Azure Tools: Advanced
Minimum skills: Experience with SQL, .NET, Dremio, PySpark, Azure Data Factory, Azure Databricks, Power BI (DAX, M) – Advanced
Skill considered plus points: Data automation process.
Other considerations: Self driven, motivated, has strong work ethic, with decent communication and collaboration skills
Degree: Graduate/Postgraduate from a quantitative field (Engineering, Statistics, Mathematics, Sciences, Finance)
Language: English (Advanced)
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