Data Engineer (Contract)

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

NSEARCH GLOBAL PTE. LTD. is seeking a Data Engineer in Singapore to design and maintain large-scale data pipelines, perform extraction and transformation, and collaborate with cross-functional teams to deliver data-driven products.

The role requires strong SQL and Python skills, experience with ETL tools, data warehousing knowledge, and a passion for bridging engineering and analytics in an Agile environment.

Qualifications

• Interest in bridging engineering and analytics.
• Knowledge of system design, data structures and algorithms.
• Familiarity with data modelling, data access, and data storage like Data Mart, Data Lake, and Data Warehouse.
• Proficient in general data cleaning and transformation (e.g. SQL, pandas, R).
• Familiar with REST APIs and web requests/protocols in general.
• Proficient with processing data from open-standard file formats (e.g. XML, JSON).
• Good at building ETL pipelines (e.g. Talend Data Integration, Informatica PowerCenter, IBM DataStage, SAS Data Integration).
• Good at database design and various databases (e.g. MS SQL Server, Oracle DB, IBM DB2, Postgres).
• Comfortable in at least one scripting language (e.g. Python).

Responsibilities

• Perform data extraction, cleaning, transformation and data flow; web scraping may be part of the scope.
• Design, build, launch and maintain efficient, reliable large-scale batch and real-time data pipelines.
• Collaborate with Project Manager, Visualization Developer, Data Scientist, UX Designers and Data Analyst to build scalable data-driven products.
• Work in an Agile environment with Continuous Integration and Delivery practices.
• Support and advise best practices in data management standards, policies and procedures.
• Work closely with fellow developers through pair programming and code reviews.

Skills

SQL

Python

Data modeling

ETL pipelines

Data cleaning

REST APIs

Batch processing

Data warehousing

XML/JSON

Tools

Talend Data Integration

Informatica PowerCenter

IBM DataStage

Job description

Our client, one of Asia-Pacific's leading organizations is looking for:

Data Engineer

Responsibilities:

• Performdataextraction, cleaning, transformation, and flow. Web scraping may be also a part of the workscopeindataextraction.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-timedatapipelines withdataprocessing frameworks
• Collaborate with Project Manager, Visualisation Developer,DataScientist, UX Designers andDataAnalyst to build scalabledata-driven products
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Support and advise best practices indatamanagement standards, policies and procedures
• Work closely with fellow developers through pair programming and code review process

Requirements:

• Interest in being the bridge between engineering and analytics
• Knowledge about system design,datastructure and algorithms
• Familiar withdatamodelling,dataaccess, anddatastorage infrastructure likeDataMart,DataLake, andDataWarehouse
• Proficient in generaldatacleaning and transformation (e.g. SQL, pandas, R, etc)
• Familiar with rest API and web requests/protocols in general
• Proficient with processingdatafrom open-standard file format ordatainterchange format (e.g. XML, JSON)
• Good in building ETL pipeline (eg. TalendDataIntegration, Informatica PowerCenter, IBM DataStage, SASDataIntegration)
• Good in database design and various databases (e.g. MS SQL Server, Oracle RDBMS, IBM DB2, Postgres etc)
• Comfortable in at least one scripting language (eg. Python)

Only shortlisted candidates will be notified.