Roles & Responsibilities

About the client:

Our client is a reputed organization

Responsibilities:

• Design and create data models to store and access data for reporting and analysis.
• Organise, build and maintain data stores of structured and unstructured data on a Cloud environment.
• Build data pipelines to enable scalable processing of large volumes of data.
• Support data optimisation of real-time and batch Machine Learning models
• Work with stakeholders to identify and solve business needs related to advanced data processing.
• Work with data ingestion processes to identify data sets aligned to stakeholder’s requirements.

Requirements:

• Bachelor’s Degree in Statistics, Mathematics, Computer Science or area with strong quantitative content
• 3 years of experience in data engineering
• Solid knowledge and hands-on experience of managing messaging tools like Kafka.
• Experience implementing complex ETL and data extraction projects from scratch.
• Fluency in Python, Spark, HIVE-QL, Hadoop eco-system, data-centric workflow management tools Unix/Linux/HDFS environments
• Proficiency in SQL and RDBMS
• Good working knowledge of Git and CI/CD pipelines
• Experience in Graph database desirable but not mandatory
• Thorough knowledge of data security, privacy, and compliance regulations
• Basic skills in artificial intelligence and linear tree models

Interested candidates, who wish to apply for the above position, please send in your resume to lakshmi_prasanna@persolkelly.com

We regret to inform that only shortlisted candidates will be contacted

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1551772 (Kankanala Lakshmi Prasanna)

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Tell employers what skills you have

Machine Learning
Git
Big Data
Pipelines
Hadoop
Artificial Intelligence
ETL
Workflow Management
Data Engineering
SQL
Python
Banking
Statistics
Java
Databases