Pyspark Data Engineer

Expertise in Data Architecture, Data Strategy and Roadmap forlarge and complex organization and systems and implementedlarge scale end-to-end Data Management & Analytics solutionsExperience in transforming traditional Data Warehousingapproaches to Big Data based approaches and proven trackrecord of managing risks and data securityExpertise with DW Dimensional modeling techniques, Star &Snowflake schemas, modeling slowly changing dimensions androle playing dimensions, dimensional hierarchies, and dataclassificationExperiences in cloud native principals, designs and deployments.Extensive experience working with and enhancing ContinuousIntegration (CI) and Continuous Development (CD) environmentsExpertise in Data Quality, Data Profiling, Data Governance, DataSecurity, Metadata Management, and Data ArchivalDefine workload migration strategies using appropriate toolsDrive delivery in a matrixed environment working with variousinternal IT partnersDemonstrated ability to work in a fast paced and changingenvironment with short deadlines, interruptions, and multipletasks/projects occurring simultaneouslyMust be able to work independently and have skills in planning,strategy, estimation, scheduling,Strong problem solving, influencing, communication, andpresentation skills, self-starterExperience with data processing frameworks and platforms(Hadoop, Presto, Tez, Hive, Spark etc.)Hands on experience in work with bigdata platforms and relatedprogramming languages (e.g. Linux, Python, PySpark, GIT,Jenkins)