Responsibilities:
* 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, Glue.
* Analyze, 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 client.
* Work 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 experience.
* Experience in any of the following: AWS Athena, Glue, Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Snowflake.
* Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB.
* An aspiration to fulfill a role as an Expert/Architect on leading technical projects.
* Preferred experience: Java or Python.
* An excellent communicator with good personal skills.
* Internal/external advisory/consulting experience.
* Demonstrated client management and relationship skills.
* Fluent in 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.
#J-18808-Ljbffr