WHAT YOU WILL DO Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, GlueAnalyze, re-architect and re -platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.Optimize data systems and build these from scratch.Support software developers, database architects, data analysts and data scientists on data initiatives.
Ensure optimal data delivery architecture is consistent throughout ongoing projects.Throughout the blueprint process engage in the development of defense strategies, combining technology and user behavior, to ensure the security of your clientWork closely alongside the client and internal teams of professionals to develop innovative solutions based on their roadmaps, through mediums such as robotics and artificial intelligence.WHAT WE EXPECT Between 2-6 years working experienceHas experience in any of the following AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, SnowflakeProficient in AWS Redshift, S3, Glue, Athena, DynamoDBAn aspiration to fulfill a role as an Expert/Architect on leading technical projects.Preferred experience: Java or PythonAn excellent communicator and good personal skillsInternal/external advisory/consulting experienceDemonstrated client management and relationship skillsFluent English (Level C2 as per the Common European Framework of Reference (CEFR))Educational Qualification Master's degree in Computer Science or equivalent professional experience Recommended Certifications AWS Certified Data Analytics and another associate level certification would be an added advantage
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