Scala Developer

HCLTech; London; On-site; USD 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a skilled Big Data professional with expertise in Spark and Scala. This role involves developing and maintaining applications within a Linux-based Hadoop ecosystem, utilizing tools like Hive and SQL for effective data processing. The ideal candidate will possess strong communication skills and a proven track record of delivering results under pressure. Join a dynamic team where your analytical and problem-solving abilities will contribute to innovative solutions across various sectors, including financial services and healthcare.

Qualifications

• Strong experience in Spark, Scala, and SQL for Big Data processing.
• Ability to work under pressure and deliver against objectives.

Responsibilities

• Develop and maintain applications using Spark and Scala.
• Utilize Hive and SQL for data processing tasks.

Skills

Spark

Scala

Hive

SQL

Communication

Banking / Capital Markets Domain

Tools

Hadoop

Linux

Job description

Job Description

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13 billion.

Job Responsibilities:

1. Spark - Must have
2. Scala - Must Have
3. Hive & SQL - Must Have
4. Hadoop - Must Have
5. Communication - Must Have
6. Banking /Capital Markets Domain - Good to have

Note: Candidate should know Scala/Python (Core) coding language. Pyspark profile will not help here.

Requirements:

1. Good Big Data resource with the below Skillset:
2. Spark
3. Scala
4. Hive/HDFS/HQL
5. Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.)
6. Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage.
7. Consistently demonstrates clear and concise written and verbal communication.
8. A history of delivering against agreed objectives.
9. Ability to multi-task and work under pressure.
10. Demonstrated problem solving and decision-making skills.
11. Excellent analytical and process-based skills, i.e. process flow diagrams, business modelling.