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Aws data engineer

Lisboa
Accenture
Anunciada dia 29 abril
Descrição

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, 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
* Has experience in any of the following AWS Athena and 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 and good personal skills
* Internal/external advisory/consulting experience
* Demonstrated client management and relationship skills
* Fluent 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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