Big Data - 43+ job offers

## Job Responsibilities Responsible for the daily operation and maintenance of the DWS data warehouse platform, including Shell job deployment, execution monitoring, log analysis, and issue troubleshooting. Perform basic data operations on the DWS platform, such as table creation, modification, back

Sertis

Who We Are Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We

Sertis

Who We Are Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We

Sertis

Who We Are Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We

Sertis

Who We Are Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We

Sertis

Who We Are Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We

Binance

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an

About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, In

Nutanix

Who are our employees? We’re an eclectic group of 5,000 dreamers, believers and builders, operating in over 40 countries. We’re Hungry. Humble. Honest. With Heart. The 4H’s: these are our core values and the DNA of our company. They help drive our employees to succeed, to strive to be better, to lea

Job descriptions: Drive the Corporate planning process (i.e. Long Term Plan, Annual Budget, Rolling Forecast) including preparing, reviewing and consolidating the information from relevant parties Provide project support through financial modeling, feasibility and analysis together with recommendati

A Day in Your Life at MKS: Hiring Manager to create summary of job using template below As an [Insert Job Title] at [Insert Business Name], you will partner with [Insert Group Name] (ex. Engineering, Internal Teams, Sales, Customers, etc.) to [Insert Main Job Duty] (ex. develop, support, execute, se

Krungsri

Responsibilities for Middle Level Participate in technical planning & requirements gathering phases including design, coding, testing, troubleshooting, and documenting big data-oriented software applications. Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data

Hanshow

About Us Founded in 2012, Hanshow is a global leading digitalization solution provider in the pan-retail sector, possessing strong independent R&D, software & hardware integration capabilities, as well as advantaged resources across the whole industry chain. Based on IoT, AI and big data technologie

The Able by King Power

Responsibility Develop and maintain ETL processes to extract, transform, and load data from various sources to target data repositories. Work closely with the Data Architect to understand data models and ensure that ETL processes align with the overall data architecture. Monitor and maintain data in

Do you want to be a part of the world’s leading jewellery company while putting your experience in technology into use? If yes, then we might have an exciting opportunity for you! You will be part of an exciting digital & tech area and work in an international organisation of can-do spirited, pa

Krungthai-AXA Life Insurance PCL.

Responsibilities Defining the data architecture vision required to implement the strategy consistently with other architecture domains (business, application, technical) Identify source of truth of each data domain, work with data management to develop and document data models : type of data, relati

Responsibilities Defining the data architecture vision required to implement the strategy consistently with other architecture domains (business, application, technical) Identify source of truth of each data domain, work with data management to develop and document data models : type of data, relati

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top truste

Roles and Responsibilities • Extract huge volumes of data from multiple sources e.g. including DWH, Big Data Hadoop, Data Lake; and with various formats e.g. Structured, Text, Voice, Image, etc. • Formulate hypotheses for testing and designing experiments to capture new data. • Explore and examine d

A multinational Insurance company. Design, build, and maintain scalable and efficient ETL/ELT pipelines in Azure Databricks to process structured, semi-structured, and unstructured insurance data from multiple internal and external sources. Collaborate with data architects, modellers, analysts, and