Systems Engineer - Data
Role details
Job location
Tech stack
Job description
As part of the system chapter youwill work closely with the Data Science department.
What you will be doing
·Support Data Engineering chapter with infrastructure and operations, by building self-service solutions.
·Help to develop a state of the art platform as a service solution using the latest and greatest technologies and approaches. (i.e. AWS RDS, AWS Kinesis, Mongo Atlas, Spark, AWS Glue)
·Implement monitoring and logging solutions that enables the production database to be monitored 24/7.
·Forensic analysis and troubleshooting when things go wrong.
·Help in database maintenance, performance tuning, index optimization, dimensioning, and system monitoring.
Requirements
·A BSc (or equivalent) degree in computer science.
·Mandatory experience working with AWS (RDS, Redshift, Datapipeline, Kinesis Streams, Glue).
·Experience with infrastructure as code (Terraform, Cloudformation)
·Strong analytical / problem solving skills.
·A strong MYSQL and MONGO databases background.
·Experience working with Mongo Atlas.
·Experience managing Spark / Hadoop clusters
·Knowledge in Neo4j and/or H20 clusters will be a plus.
·Valuable knowledge creating, modifying, and analyzing SQL statements and Query plans.
Benefits & conditions
·Great working environment
·Career development opportunity
·Competitive salary
·Friendly and supportive team.
·Opportunity to constantly learn new technologies and grow as a professional according your own interests.
·Flexible Compensation Plan: Restaurant/ Transport/ Nursery tickets
·Extended annual holiday leave
·Flexible working hours
·Half day Fridays