WeChat ID: SVARecruitment

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Silicon Valley Associates- Specialist IT Recruitment Agency in Hong Kong, Shanghai, Singapore, Dubai and Japan

RECRUITER SUMMARY

Description:   

HOT_HK Data Scientist, Data Engineer, Hadoop Azure Python Spark Databricks, $75K HKD per month

Date

   16 / 01 / 2023

Nationality

    Indian
    Work Visa

Residence

    Hong Kong

Experience Summary

12+ years of experience in the Data/IT industry

Current & Previous Employers and jobs include:
Data Engineer at XXXX
Senior Software Engineer at XXXX
Technology Lead at XXXX
Technical Consultant at XXXX

Software Developer at XXXX

Education

Bachelor of Engineering (B.E.), Electronics and Communications Engineering
XXXX

Microsoft Certified: Azure Data Fundamentals

Microsoft Certified: Azure AI Fundamentals

Microsoft Certified: Azure Data Engineer Associate

Motives & Seeking

Is passively looking for a job right now but would be open for better opportunities in the market. Open for data engineering roles.

 Languages

English – Fluent
German - Basic

Recent / Current Salary

    $55K HKD per month

Expected Salary

    $70K-75K HKD per month

Noti

Period

    2 months

Interview Availability

    Requires a day notice

 

Interview Assessment Notes 

 

 

  1. Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
    He has 12+ years of overall experience in the IT industry. Currently working as a Data Engineer for XXXX for about 4-5 years now where he developed data migration, data pipelines, and ETL pipelines using Apache Nifi; also has used Oracle to ingest data into the data lake and get them for Power BI reporting. His daily responsibilities include building, ingesting system into data, build and support data pipeline, and worked on different databases such as NoSQL databases and MongoDB. He started his career in 2010 as a Software Developer then later on got the chance to work in ETL Technology and tools such as Informatica and was trained on big data and Hadoop technology. He is now working into Hadoop and big data tech stack for the last five years in XXXX and has handled the migration of various data sources into a data link. Before that, he was with XXXX as a tech lead where he handled a team of four, leading offshore team, and giving tasks to junior developers. After that, joined XXXX as a Senior Software Engineer where he worked as an individual contributor and joined XXXX later on which is his current role.

  2. What skill(s) / experience would you self-describe as strongest or specialist in?
    Strongest skill would be Hadoop, Azure Data Factory, Python, Spark, and Databricks. Have been using these technologies specifically Hadoop for 5+ years and Azure/Azure Databricks for about 2 year. Rates himself a 4 out of 5 when it comes to Python.

  3. Do you have the lists of key criteria according to the client's requirements?
    Has about 5+ years of experience as a data engineer. Strong with Python and knowledgeable with JavaScript. Good with building automated data pipelines and mapping across databases. Has used SQL, MySQL, MongoDB, and has used Redis as well. Not much of RabbitMQ but knows Kafka. Strong with Azure and has done some certifications as well with GCP.

Recruiters

Employment Agency

Silicon Valley Associates Recruitment.

907, 9th Floor, Silvercord Tower 2, Tsim Sha Tsui. Kowloon, Hong Kong

25F, Central Plaza, Xin Tian Di, Shanghai

Ubi TechPark #01-08, Singapore

Sunshine Technology & Innovation Centre, No.1003 Nanxin Road, Nanshan, Shenzhen

Job-Seeker Agreement

The Candidate has agreed that Silicon Valley Associates Recruitment may disclose their profile to potential employers for the purpose of seeking new employment. Silicon Valley Associates Recruitment will never charge any fees from job-seekers.

Employer Terms

General Terms and Conditions apply to all requests, offers, and agreements regarding the provision of services, and are available upon request. These can be sent to you on request or can be found on our website: svarecruitment.com.

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