Bachelors or Masters in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics or related technical degree
4-5 years’ experience in a data engineering-related position
Good Experience in Big Data platforms like Hadoop and its eco-system (Hive, Spark, Oozie)
Advanced working SQL knowledge
Firm understanding in using statistical tools like R with hands-on experience
Knowledge of statistical techniques, machine learning algorithms
Bonus points for knowledge on data visualization tools like PowerBI and Tableau
Experience in designing & developing data processing solutions & custom ETL pipeline for varied data formats
Ability to work with stakeholders, including the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.
Vital individual planning and project management skills, able to juggle multiple tasks and prioritize
Self-motivated and driven to deliver agreed results on-time
Strong storytelling & articulation skills – ability to convey the business context to both technical & non-technical audience
Strong influence and relationship management skills; comfortable interacting with all management levels
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