- Apache Hive
As a Data Engineer you will work on large projects across our client base in different fields and industries, creating innovative solutions to engineer business data processes by leveraging Big Data and Cloud technology, systems development methodology, and industry standards.
What you’ll be doing:
Retina is an innovative consultancy in the areas of Digital Marketing & Automation, Analytics, Big Data with an emphasis on providing enterprise strategy, infrastructure, and solutions to Fortune 500 clients. With offices in the US, Canada, Spain, Austria, UK, and Romania, Retina is rapidly expanding and offering solutions and expertise internationally.
The responsibilities vary from project to project, and generally include:
Create innovative solutions to engineer business data processes by leveraging Big Data and Cloud technology, systems development methodology, and industry standards.
Design, implement, build, test, and deploy complex business applications and provide guidance to clients (e.g., solution discovery, advantages and disadvantages, technical implications, etc.).
Present solutions to project teams, management, and occasionally to client stakeholders.
Take full ownership of features and see them through from their inception to deployment.
This is a full-time position with a competitive compensation; salary is dependent upon prior experience.
Employment type: Full Time Seniority Level: Data Engineer Location: Glasgow
Employment type: Full Time Seniority Level: Data Engineer Location: Bucharest
What we’re looking for
A minimum of 3 years relevant, professional experience in Big Data and/or Data Lake development (i.e. Hadoop, Apache Spark, Apache Kafka, HDFS, Hive, Parquet, AWS).
Expertise with one or more data-oriented programming languages (i.e. Python, Spark, Scala).
Familiar with Hadoop ecosystems (Databricks preferably, or at least one from Cloudera, Hortonworks, and MapR).
Experience with SQL and NoSQL databases (at least one from Hive, MongoDB, and Cassandra).
Experience working with Cloud Platforms (prior experience with AWS is a plus).
Capability to provide thought leadership in the data engineering domain a big plus.
Interest and availability for traveling for extended periods of time in USA (1-5 months at a time).
Understanding of the overall software development lifecycle (SDLC) required.
Experience interacting with clients (meeting with stakeholders, clarifying requirements).
Ability to prioritize tasks and manage multiple projects; excited about solving problems.
Strong verbal and written communication skills in English.
Perks and Benefits
This is a full-time position with a competitive salary, negotiable and dependent upon prior experience. This position also includes flexible working schedule and paid vacation. You’ll have the chance to partner with industry leading companies, while helping an innovative global organization reach its full potential.