Big Data Engineer (Hadoop suite)

CONVOTIS Slovakia

Place of work
Karpatská 18, Bratislava region, Bratislava
Contract type
full-time, trade licence
Start date
by agreement (project ongoing)
Wage (gross)
by agreement

Information about the position

Job description, responsibilities and duties

Tasks:
• Design, construct, and deliver transformation of large data sets leveraging MapReduce, streaming, and other emerging technologies
• Leverage Kafka, HBase, Elasticsearch, etc. to ingest transformed data at scale
• Integrate new data management technologies and software engineering tools into existing structures
• Ensure systems meet business requirements and industry practices
• Implement high-volume data integration solutions
• Learn and apply new tools and technologies
• Collaborate with data architects, data engineers, data scientists and IT team members on project goals
• Produce and maintain high-quality technical documentation

Employee perks, benefits

• interesting and challenging project at one of the largest Austrian Mobile operators
• day by day use of the most emerging technologies in a real world projects
• potential of career and technical growth
• very attractive salary/payment conditions
• workplace partially Vienna, Austria

Requirements for the employee

Candidates with education suit the position

University education (Bachelor's degree)

Educational Specialization

Computer science, Software/computer engineering

Language skills

English - Advanced (C1) or German - Advanced (C1)

Personality requirements and skills

Combination of some of the listed skills/experiences is a must:

• Degree in computer science, software/computer engineering, or related field and experience commensurate with the requested level in software engineering; if no degree, equivalent experience in software engineering.
• Experience with object oriented software development creating applications in Java
• Experience with Scala and/or Python
• Experience with messaging systems, such as Kafka
• Experience with building stream-processing systems, using solutions such as Spark-Streaming
• Proficiency of Hadoop–Ecosystems (Spark, Hadoop v2, MapReduce, HDFS, Impala, Storm, etc.)
• Good knowledge of Big Data querying tools, such as Pig, Hive,
• Experience with SQL databases and No-SQL databases (e.g. HBase, MongoDB)
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Experience with Big Data ML toolkits, SparkML, or H2O ..
• Experience with Ranger and Knox
• Experience with Hortonworks
• Track record of developing technology to enable large scale data transformation
• Experience with integration of data from multiple data sources.
• Knowledge of various ETL techniques and frameworks, such as Flume
• Knowledge of software engineering best practices
• Proficient understanding of distributed computing principles
• Passion for solving hard problems and exploring new technologies
• Communication and technical documentation skills
• Experience in designing and implementing high-availability/high-scale production systems
• Quickly learn new development languages if required. Have a very good understanding of software programming and the ability to “pick up” new programming languages quickly
• Nice to have
o Ability to solve any ongoing issues with operating the cluster
o Management of Hadoop cluster, with all included services

Advertiser

Brief description of the company

CONVOTIS Slovakia - empower IT

With our business solutions, digital platform solutions and managed IT services, we are a strategic IT partner for our customers for increasing growth and efficiency through digitalization.

With 600 employees at 16 locations and in over 5 countries, we support our customers 24/7 and create added value so they can focus on their core business. For us, both long-term and partnership-based collaboration and flexibility are key to success.

Number of employees

500-999 employees
ID: 3118401  Datum zveřejnění: 30.6.2017  Základní složka mzdy (brutto) a další odměny: by agreement