POSITION OVERVIEW

DB Global Technology is Deutsche Bank’s technology center in Central and Eastern Europe. Opened in January 2014, the Bucharest office is constantly expanding.
The team is made up of enthusiastic professionals that work in an international environment adapting to different context and learning new technologies and parts of Deutsche Banks’ businesses.
Every day we look at what needs to be done to support continuous business and how to improve current activities. Changing the Bank is a challenging endeavour which we tackle every day and enjoy our success when our efforts fundamentally change how Deutsche Bank works.
The role is for an experienced developer planned to be part of a development team within the Investment Banking Division, Treasury Liquidity Program.

Responsibilities

• Build distributed, reliable and scalable data pipelines to ingest and process data in real-time.
• Fetch streams, transaction behaviors, clickstream data and other unstructured data.
• Load data from different datasets and decide which file format is efficient for a task.
• Source large volumes of data from diverse data platforms into Hadoop platform.
• Fine tune Hadoop applications for high performance and throughput.
• Configure and maintain enterprise Hadoop environment.
• Understand the requirements of input to output transformations.
• Defining Hadoop Job Flows/ Implement data workflows using Hadoop ecosystem.
• Design and implement column family schemas of Hive/Impala within HDFS.
• Assign schemas and create Hive/Impala tables.
• Develop efficient Hive/Impala scripts with joins on datasets using various techniques.
• Assess the quality of datasets for a Hadoop data lake.
• Troubleshoot and debug any Hadoop ecosystem run time issue.

Skills

• At least 3 years of experience working with Hadoop and Scala.
• Good knowledge of concurrency and multi-threading concepts.
• Good knowledge of SQL, database structures, principles, and theories.
• Experience in working with complex data structures.
• Capable to meet deadlines and work within virtual teams in matrix organizations.

Well-being & Benefits

Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health

• Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.
• A professional, passionate, and fun workplace with flexible Work from Home options.
• A modern office with fun and relaxing areas to boost creativity.
• Continuous learning culture with coaching and support from team experts.

• Build distributed, reliable and scalable data pipelines to ingest and process data in real-time.
• Fetch streams, transaction behaviors, clickstream data and other unstructured data.
• Load data from different datasets and decide which file format is efficient for a task.
• Source large volumes of data from diverse data platforms into Hadoop platform.
• Fine tune Hadoop applications for high performance and throughput.
• Configure and maintain enterprise Hadoop environment.
• Understand the requirements of input to output transformations.
• Defining Hadoop Job Flows/ Implement data workflows using Hadoop ecosystem.
• Design and implement column family schemas of Hive/Impala within HDFS.
• Assign schemas and create Hive/Impala tables.
• Develop efficient Hive/Impala scripts with joins on datasets using various techniques.
• Assess the quality of datasets for a Hadoop data lake.
• Troubleshoot and debug any Hadoop ecosystem run time issue