Prior experience must include Design and develop scalable and reliable ETLELT data pipelines and product frameworks by utilizing the leverage of multiple programming languages Python, Java, Scala, R, SQL, PLSQL and building and deploying the services in public cloud environments AWS, GCP, Azure; Explore fundamental issues regarding data science and develop theories and models to address those issues and, working with Data scientists, Business analysts and Architects, build the architectural designs, high quality solutions and productionizing the Machine learning models; Fix data quality issues through reverse engineering and analyze large data sets and look for patterns in data and generating stories and reports using Business Intelligence tools power BI, Tableau, QlikView; Analyze, process and extract information from data sources using Bigdata technologies Apache spark, Hive, Hadoop and distribute systems and performance tuning following best practices with complex queries in both SQL MySQL, Microsoft SQL server, Oracle and NOSQL MongoDB, GraphQL databases.
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