Total 4 Fresh/Entry Level information technology job vacancies in D04 Harbourfront,Telok Blangah, Sentosa Island

- Join Training Programme in order to later supervise and plan for preparations, execution and closing of chemical cleaning, steam/air blowing, lube oil flushing and other projects

- Develop documentation and reporting

- Support Technical and Operations for Solarca group where and when required around the World

- Worksites in various Singapore and Overseas regional and worldwide locations

- Projects in Oil & Gas, Pharmaceutical, Food & Beverage, Power and other sectors

- Per-diem for all local and oversea jobs

- Transport pickup at Boonlay area

No experience require, on job training provided

Monthly salary : S$1,600

5.5 days work week

Mon to Fri (8am to 5pm)

Sat (8am to 12pm)

Annual Leave : 12days

Medical Leave : 14days per years

Medical reimbursement
Workman Compensation Insurance

Hospitalisation & Surgery Insurance

Long Service Awards

Annual Company Dinner

Company Uniform

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 or Mid-Career Professionals with more than 3 years of experience 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 (for Fresh Professionals) and 6 months training program (for Mid-Career Professionals) 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:
1. Data modelling using different schema patterns such as Star/Snowflake/DataVault in Data Warehouse or Data Mining
2. Python programming
3. Hadoop architecture & HDFS storage platforms
4. Tools like Sqoop for Ingestion of data from source systems to HDFS
5. Apache Kafka architecture to create topics and partitions
6. ETL job development, monitoring & optimization using Hive script & Impala
7. Spark programming - Spark SQL, Spark Streaming
8. Data pipeline setup, analysis, insights & analytics using end to end data solutioning platforms such as Cloudera leveraging cloud infrastructure on AWS or Azure
9. Data quality, governance & security technologies

Training program shall also include other topics such as:
1. Communication management
2. Stakeholder management
3. Change management
4. Creative & computational thinking
5. Business analysis

Possible Roles post training period:
1. Data engineer
2. Data architect
3. Data visualization & analytics expert
4. Advanced data analytics expert
5. 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

Mandatory Skills Description:

• A good degree, postgraduate or Diploma qualification in IT Engineering
• Fresh Professionals (0-3 years of work experience) or Mid-Career Professionals (3+ years of work experience) in IT, along with good knowledge in data structures, SQL and Java OR Python
• Analytical and problem-solving skills
• Strong written and spoken communication skills and interpersonal skills

Nice-to-Have Skills:

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

• Mandatory Skills Description:
• • A good degree, postgraduate or Diploma qualification in IT Engineering
  • Fresh Professionals (0-3 years of work experience) or Mid-Career Professionals (3+ years of work experience) in IT, along with good knowledge in data structures, SQL and Java OR Python
  • Analytical and problem-solving skills
  • Strong written and spoken communication skills and interpersonal skills
• Nice-to-Have Skills:• Fundamental understanding of Big Data concepts (academic trainings or certifications)
  • Experience in financial services domain