BI Data Modelling

This SRF is for DataOps Engineer (FTE) at Prague location.

DataOps (data operations) Engineer will be responsible for designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production.

Key Responsibilities

· Create and maintain optimal data and model dataOps 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 cloud-based 'big data' technologies from AWS, Azure and others.

· Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

· Keep data separated and secure across national boundaries through multiple data centers and strategic customers/partners.

· Create tool-chains for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

· Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management systems.

Key Qualifications

· Bachelors/Masters/Ph.D. in Computer Science, Information Systems, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction.

· Overall industry experience of 5+ years, at least 3 years' experience as a Data Engineer.

· 3+ years of experience in the following:

· Software/tools: Hadoop, Spark, Kafka, etc.

· Relational SQL and NoSQL databases, including Postgres and Cassandra.

· Data and Model pipeline and workflow management tools: Azkaban, Luigi, Airflow, Dataiku, etc.

· Stream-processing systems: Storm, Spark-Streaming, etc.

· Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

· Experience performing root cause analysis on internal and external data and processes to answer specific business questions and seek opportunities for improvement.

· Experience in Data warehouse design and dimensional modeling

· Experience building processes supporting data transformation, data structures, metadata, dependency and workload management.

· Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of other databases/date-sources.

· Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.

· Experience with Docker containers, orchestration systems (e.g. Kubernetes), continuous integration and job schedulers.

· Knowledge of server-less architectures (e.g. Lambda, Kinesis, Glue).

· Experience with microservices and REST APIs.

· Experience with data visualization and dashboard creation is a plus Job type: Permanent Division: eTeam Workforce Limited Reference: 19-00916