Big Data Developer (Scala/Hadoop/Spark)

Location:

Prague, Czechia (2/3 days on site)

Contract:

6 month extendable contract role

Pay rate:

200-300€ per day

Overview:

Step into an exciting role where you'll contribute to the advancement of our state-of-the-art data lake platform, leveraging Big Data technology. Our mission is to streamline current processes and innovate new ones, driving excellence and efficiency.

You will join a dynamic team composed of both emerging talents and experienced professionals, each bringing unique expertise. As a backend developer within our "Application Development for Cash Datawarehouse" unit, you'll manage applications that store and process trading data from various stock exchanges, including a prominent European exchange. Your work will also involve data analysis and interactions with internal stakeholders.

No need to worry if you're not well-versed in financial markets and stock exchanges—we will provide thorough training to ensure you excel in your new role and fully realize your potential.

Key Responsibilities:

Develop using Spark/Scala
Read inputs from HDFS, HBase/Phoenix, Kafka
Analyze trading data, such as surveillance alerts and Market Maker ratings
Maintain batch flows with Control-M
Create data queries in Zeppelin

Qualifications:

Experience with Big Data technologies (Hadoop, Spark)
Background in software development (preferably Scala or Java)
Proficiency in English
Strong communication, analytical, and problem-solving abilities
Basic knowledge of financial markets and quality assurance practices
Eagerness and patience to learn and navigate large systems

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Big Data Developer