Data Hub Solution Developer - Data warehouse Python Spark - Investment Bank

London  ‐ Onsite
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Description

Data Hub Solution Developer - Data warehouse Python Spark - Investment Bank

Essential Skills

  • 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

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

Hybrid working and Inside IR35.

Adlam Consulting operates as an Employment Agency & an Employment Business Applicants must be eligible to work in the specified location

Start date
ASAP
Duration
6 months ongoing
From
Adlam Consulting Ltd
Published at
23.06.2022
Project ID:
2411011
Contract type
Freelance
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