21 июля 2020

Senior Data Engineer (вакансия неактивна)

Киев, Львов, Ивано-Франковск, Тернополь

Необходимые навыки

Minimum Qualifications:
3+ years of deep software development and engineering experience
1+ years of experience in the data and analytics space
1+ years in key aspects of software engineering such as parallel data processing, data flows, REST APIs, JSON, XML, and microservice architectures.
2+ years of Java and/or Scala experience.
2+ years of RDBMS concepts with strong SQL skills

Knowledge, Skills, and Abilities:
Collegial and collaborative working style
Must be a self-starter and team player, capable of working and communicating with internal and client resources
Some consulting experience preferred
Strong verbal and written communication skills
An Understanding of what it takes to make a modern data solution production-ready including operations and monitoring strategies and tools
Detail-oriented with the curiosity that compels you to dive deep into the problem, whether to identify the root cause of a quality issue or understand hidden patterns
Understanding and experience with stream processing and analytics tools and technologies such as Kafka, Spark Streaming, Storm, Flink, etc.
Experience working in a scrum/agile environment and associated tools (Jira)
Proficient with application build and continuous integration tools (e.g., Maven, Gradle, SBT, Jenkins, Git, etc.)
General knowledge of big data and analytics solutions provided by major public cloud vendors (AWS, Google Cloud Platform, Microsoft Azure).
Hands-on experience with DevOps solutions such as Jenkins, Puppet, Chef, Ansible, CloudFormation, etc.
Any certifications related to Big Data platforms, NoSQL databases or cloud providers are a plus
Experience with large data sets and associated job performance tuning and troubleshooting.
Ability to wrangle data at scale using tools such as BigQuery, Hive, Spark, and other distributed data processing tools.
At least upper-intermediate level of English

Предлагаем

Above average compensation and competitive Social package
Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy
Medical insurance

Обязанности

Architect and implement best-in-class solutions using technologies such as Spark, Cassandra, Kafka, Airflow, Google Cloud DataFlow, BigQuery, Snowflake, Amazon Kinesis / RedShift among others
Create robust and automated pipelines to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms
Work with data scientists to operationalize and scale machine learning training and scoring components by joining and aggregating data from multiple datasets to produce complex models and low-latency feature stores.
Leverage graph databases and other NoSQL data stores to accomplish tasks that are not possible with traditional databases

О проекте

ELEKS Software Engineering & Development Office is looking for a Senior Data Engineer in all our locations.

Горячие вакансии

Все вакансии