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Spark/Scala Developer

Experis - ManpowerGroup

City Of London

Hybrid

GBP 80,000 - 100,000

Full time

16 days ago

Job summary

A leading technology staffing firm is seeking a Spark/Scala Developer in London for a 2-month contract. The ideal candidate will have deep expertise in Spark and Scala, with experience in optimizing big data applications. Responsibilities include developing complex data transformation workflows. Strong problem-solving skills and experience with ETL processes are essential. This role requires 2-3 days on-site work per week.

Qualifications

  • Expertise in Spark and Scala required.
  • Experience developing ETL workflows with Big Data Technologies is essential.
  • Hands-on experience tuning Spark jobs for better performance.

Responsibilities

  • Develop complex data transformation workflows using Spark and Scala.
  • Optimize big data applications for efficiency and performance.

Skills

Expertise on Spark & Scala
ETL/Data transformation workflows
HIVE, Impala, HBase
Java and distributed computing
Big data/Hadoop technologies
Analytical and problem-solving skills

Tools

Apache Hadoop
Spark
Kafka
Job description

Role Title: Spark/Scala Developer
Location: London - Days on site: 2-3
2 months

£308

  • Expertise on Spark & Scala
  • Experience in developing complex data transformation workflows(ETL) using Big Data Technologies
  • Good expertise on HIVE, Impala, HBase
  • Hands on experience to finetune Spark jobs
  • Experience with Java and distributed computing
  • In-depth comprehension of Big data/Hadoop technologies, distributed computing, and data processing frameworks
  • Exceptional analytical and problem-solving skills, focusing on innovative and efficient solutions.
  • Demonstrable experience in optimizing and fine-tuning big data applications for heightened performance and efficiency.
  • Hands-on experience with relevant tools such as Apache Hadoop, Spark, Kafka, and other industry-standard platforms.
  • Good to have : External technology contributions (Noteworthy Open Source attributions).
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