Data Engineer

Key responsibilities:

• Evaluate business needs and objectives
• Identify and analyze data sources and analytical requirements
• 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 Cloudera tools as well as open source technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Colaborate closely with Data scientists and the rest of IT
• Creating and continuous update of appropriate documentation for solutions and IT systems being in charge of
• Participate in development of roadmaps and implementation strategy around Data science initiatives including Recommendation engines, Predictive modeling and Machine learning
• Participate in Agile/Scrum routines
• Support Data Architect implementing Data Governance procedures
• Support Solution Architecture Design for new solutions and for changes of existing solutions
• Supporting functional and acceptance tests of new deliveries
• Identify and perform performance tuning opportunities
• Analyze Data Quality issues and participate in resolving
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For a good start, you will need:

• Excellent knowledge of programming and scripting languages such as Scala, Python, Java is an advantage
• Apache Spark and Spark Structured Streaming
• Experience with major Big data technologies and frameworks including but not limited to Hadoop, Hive, HBase, Oozie, Flume, ZooKeeper, NoSQL databases , Flink, Kafka, Nifi, Spark MlLib
• Experience with some of major relational database engines, like Oracle, Teradata, SQL Server; Oracle SQL, PL/SQL; Oracle ETL technology and tools (OWB, ODI)
• 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
• Experience in client-driven large-scale implementation projects
• Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
• Strong experience in applications design, development and maintenance
• Practical expertise in performance tuning and optimization, bottleneck problems analysis
• Solid technical expertise & troubleshooting skills
• Possess expertise in Object-Oriented Analysis and Design
• Experience with Git, JIRA, Jenkins
• Experience with Agile
• Will be a plus: Experience with DWH and knowledge of the ETL technology and tools (OWB, ODI) is advantage

You will enjoy:

• Working in a dynamic and friendly environment which allows you to grow and develop.
• Flexible working hours with the possibility of working remotely.
• 25 days off per year.
• Attractive salary and participation in bonus reward system.
• Private health insurance and paid yearly regular medical check-up.
• Mobile phone with unlimited internet and Family Telenor tariff package.
• Recreation or health program.
• In-house training and development programs.
• Career development opportunities.

Please include your references in your CV, as reference check is an integral part of our selection process.

We hope to meet you soon!