data
platform, Marketing, CRM, campaign management and other back-office
applications
* Responsible for multi projects at once, being the main source of technical knowledge
and experience, facilitating, building (hands-on) and mentoring RnD teams
* Responsible for cloud infrastructure, architecture, micro-services, CICD, production
environments and for new innovative and complex developments.
* Responsible for research, analysis and performing proof of concepts for new
technologies, tools and design concepts
* Design and development core modules in our big data platform infrastructures
(hosting in Google Cloud, services and Kubernetes, based on: Spark
Core/Streaming
Structure/SQL, Scala, Python, AngularJS, Node.js, Kafka, BigQuery, Redis,
Elasticsearch, Google Cloud Machine Learning Engine and TensorFlow)
* The platform handles huge amounts of data, through complex processing in batch
and real time modes, complex data manipulation, using services, UI frameworks
and
interactive notebooks.
Qualifications
* 8+ years of practical experience with Scala/Python programming languages,
excellent programming skills – functional programming, design patterns, data
structures and TDD approach – must
* 6+ years hands-on experience building large-scale (petabytes), low-latency
distributed systems using modern cloud computing technologies (GCP – preferred
,
AWS) – must.
* 5+ years experience working in microservices environments, building state-of-the-
art data-driven solutions – must
* 5+ years experience in efficient data modeling using SQL/NoSQL solutions (BQ,
ES, MySQL etc) – must
* Expert SQL queries knowledge – you know how to write efficient, low-latency
queries vs modern data-warehouse solutions (BQ – preferred, Redshift, Athana
etc)
– must
* Experience building large-scale (petabytes) of Streaming/Batch ETL using modern
processing engines (Spark – preferred, Beam, Flask etc).
* Experience working with data streams systems (Kafka – preferred , Pub-Sub or
Kinesis) – must
* Experience working Data Science/ML (production grade) infrastructure – big
advantage
* Experience working with notebooks solutions (Zeppelin, Jupyter) – big advantage
* Experience working storage solutions (hdfs, S3, GCS – preferred) – big advantage
* Experience working with CI&CD tools and devops solutions – big advantage
* Experience working with dockerize and kubernetes solutions – big advantage
* Team-Player, excellent communication skills vs software engineers, product and
external clients – fluent English – must
* BSc Computer Science/Data Management or equivalent practical experience – must
