Data Hub Solution Developer - ETL Big Data Python Spark Investment Banking

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Data Hub Solution Developer - ETL Big Data Python Spark Investment Banking

Skills & Competencies

Strong solution architecture experience in delivery of IT projects

Strong data analytics/big data solution architecture experience in delivery of large systems

8+ Years, with strong development background

Experience working with ETL technologies

Experience working in onshore/offshore delivery centres, including interaction with geographically distributed clients

Encourage continuous improvement, innovation and creativity

Facilitate problem solving & collaboration

Ability to discover and analyse problems, and present solutions in a clear and concise manner

A strong team leader and motivator

Provide guidance to the team based on management direction

Excellent oral and written communication skills with the ability to effectively present to target audience

French speaking would be nice to have but not essential

Essential

Conception of a data warehouse and the different layers to integrate and distribute the data.

Python Development Experience.

Experience with Spark development.

Development in agile mode (Scrum)

Linux OS knowledge

Jenkin, Bitbucket, Artifactory, Anaconda

S3 Storage

SQL Server

Highly Desirable

Knowledge of Big Data technologies (Hive, Drill, HBase, HDFS ) and Hadoop distributions, in particular MapR

Nice to have

Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.

Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.

Experience with various messaging systems, such as Kafka.

Experience working with ETL technologies using Ab Initio

Development

Act as development champion for all project development undertaken by the SSC

Python Programming Framework

Work with onshore and offshore development teams

Track and report on delivery of shared functionality

Champion and Drive Code Reviews

Lead Design Reviews

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