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Job Summary


Salary
$4,114 - $6,818 SGD / Monthly EST

Job Type
Permanent

Seniority
Junior

Years of Experience
0-2 years

Tech Stacks
ETL
Analytics
Spark Streaming
Sqoop
HDFS
Cloudera
Snowflake
Apache
Azure
Hive
Impala
Spark
kafka
SQL
Hadoop
Python
AWS
Java

Job Description


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Project Description

Hiring to create the future ready Data & Analytics professional!

Luxoft, a DXC Technology Company has embarked upon an extensive multi-year program to hire and upskill professionals and engage them in projects involving cutting edge data & analytics solutions for our extensive global clientele.

If you wish to progress your career into next gen data engineering, visualization, and advanced analytics solutions this opportunity is for you. We seek highly energetic fresh professionals with 0 to 3 years experience post graduation having fundamental programming skills, analytical thinking, data concepts and a great passion to learn. Prior extensive experience in data & analytics projects is not mandatory but a definite plus. Applicants need to be Singapore citizens.

This engagement shall involve an extensive 12 months training program well interlaced with embedded on the job training in live internal or client projects. Post completion of training the candidate shall be certified as a “Data Warehouse & Big Data Professional” ready to be immediately deployed into client projects

Training details

In the course of this engagement candidates shall be trained on a variety of cutting edge data & analytics technologies such as –
  • Data modelling using different schema patterns such as Star/Snowflake/DataVault in Data Warehouse or Data Mining
  • Python programming
  • Hadoop architecture & HDFS storage platforms
  • Tools like Sqoop for Ingestion of data from source systems to HDFS
  • Apache Kafka architecture to create topics and partitions
  • ETL job development, monitoring & optimization using Hive script & Impala
  • Spark programming – Spark SQL, Spark Streaming
  • Data pipeline setup, analysis, insights & analytics using end to end data solutioning platforms such as Cloudera leveraging cloud infrastructure on AWS or Azure
  • Data quality, governance & security technologiesTraining program shall also include other topics such as –

  • Communication management
  • Stakeholder management
  • Change management
  • Creative & computational thinking
  • Business analysisPossible Roles post training period

  • Data engineer
  • Data architect
  • Data visualization & analytics expert
  • Advanced data analytics expert
  • AI/ML expert

Responsibilities

  • Demonstrate passion to learn cutting edge big data technologies
  • Consistently participate in the training sessions and learning programs
  • Actively engage and apply learnings into live internal or client projects during course of the training

Skills

Must have
  • A good degree, postgraduate or Diploma qualification in IT Engineering
  • 0-2 years work experience in IT, along with good knowledge in data structures, SQL, Java & Python
  • Analytical and problem-solving skills
  • Strong written and spoken communication skills and interpersonal skillsNice to have

  • Fundamental understanding of Big Data concepts (academic trainings or certifications)
  • Experience in financial services domain

Languages

English: C2 Proficient

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