Big Data Engineer
Are you a motivated Data Engineer, willing to grow as a professional and work on large-scale projects, using different working approaches that are both diverse and cutting-edge? Are you passionate about innovative and top-notch software solutions and want to be part of like-minded professionals? Do you enjoy working in a fast-paced, yet collaborative environment?
If your answer is “Yes”, we would love to talk to you.
Who are we looking for?
Our technical team is expanding, and we have a thrilling job opportunity for a Data Engineer who is seeking a challenging work in international projects for worldwide clients and wants to contribute for our development and growth.
What your responsibilities are going to be?
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Create data tools for analytics and data scientist team members that assist them in building and optimizing product into an innovative industry leader.
What qualifications are needed?
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Expert level proficiency in Python
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
We are looking for a candidate with 5+ years of experience in a Data Engineer role
What would be considered as an advantage?
Master's in computer science or equivalent
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases
Experience with data pipeline and workflow management tools: Airflow, Azkaban, Luigi, etc.
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Sofia, Plovdiv, Varna, Burgas, Skopje