Big Data Developer

We are the leading technology recruitment and selection consultancy in Romania, working on highly specialized technologies for permanent and interim positions. Since our inception in 2001 as the first specialized IT recruitment agency in Romania we supported over 400 national and global clients in acquiring strategic IT talent for their business.

We are deeply passionate about technology and highly responsible about our work. We understand the pressure of the business and the fact that you need fast and quality results. Therefore we always go for the extra mile to deliver the best IT&C talent for your business, no matter how challenging the project may seem.

Job Description:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support next generation of products and data initiatives.

Skills:

o We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
o Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
o Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
o Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
o Build processes supporting data transformation, data structures, metadata, dependency and workload management
o A successful history of manipulating, processing and extracting value from large disconnected datasets
o Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
o Experience supporting and working with cross-functional teams in a dynamic environment

They should also have experience using the following software/tools:
o Experience with big data tools: Hadoop, Spark, Kafka, etc.
o Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
o Experience with data pipeline and workflow management tools.
o Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Responsabilities:

o Create and maintain optimal data pipeline architecture,
o Assemble large, complex data sets that meet functional / non-functional business requirements.
o Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
o Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
o Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
o Create data sets for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
o Work with data and analytics experts to strive for greater functionality in our data systems.