Data jobs in Germany
Senior Data Engineer
SEDHA CONSULTING PTE. LTD.
Adjunct Trainer - Data Science
EDUCLAAS GLOBAL PTE. LTD.
Head, Data & AI Development
HYPERSCAL SOLUTIONS PTE. LTD.
Junior Data Analysis
LIFELONG LEARNING SINGAPORE PTE. LTD.
Senior Data Engineer
IBM SINGAPORE PTE LTD
Field Engineering, Data Warehousing Product Specialist
Databricks Inc.
Regional e-Commerce Data Manager
Samsung
Data Consulting Manager - Singapore
Artefact
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Singapore National Eye Centre
Head of Communications and Corporate Branding
Digital Edge Data Center
Associate Practice Engagement Manager - Data Transformation
Infosys Limited
Associate Principal / Senior Analyst, Data Science, Office of Insights & Analytics
Singapore National Eye Centre
Senior Sales Executive
ICE DATA SERVICES SINGAPORE PTE. LTD.
Outreach Data Collection/Analyst Specialist (up $4200, yearly renewable*)
PERSOLKELLY SINGAPORE PTE. LTD.
Data Centre M&E Engineer
SEARCH AVENUE PRIVATE LIMITED
Quality Data Analyst (Office hours, 5 days work week) #HJG
Recruit Express Pte Ltd.
Team Leader - Company Financials Data - Asia Energy, Mumbai
Bloomberg
Data Analyst (Fusion Poly Graduate Programme) [Not open for applications]
Singtel Group
T&T Senior Consultant - Data Protection - TH
Deloitte PLT
Asst Director, Healthcare Data Analytics (Strong in Mgmt) #HJC
RECRUIT EXPRESS PTE LTD
Data Entry Operator
Microcell Marketing (Asia) Pte Ltd
Data Scientist
ScienTec Consulting
Project Engineer (BMS/Data Center)
AZBIL SINGAPORE PTE. LTD.
Senior Data Engineer
Job summary
A data consulting firm in Singapore is seeking an experienced Data Engineer to enhance and redesign existing data pipelines using AWS components. The ideal candidate should have a minimum of 3 years' experience in data engineering, proficiency in Python, and a strong understanding of ETL processes. This role requires physical presence at project sites when requested.
Qualifications
- At least 3 years hands-on working experience in data engineering, designing and building ETL pipelines.
- Experience in project execution and demonstrated technical expertise.
- Familiar with tools like AWS Batch and Athena, and file formats like Parquet.
Responsibilities
- Enhance the existing data pipeline using industry-standard tools and mechanisms.
- Redesign and implement data pipeline to use AWS managed components.
- Implement data pipeline monitoring to alert us if there is any issue with the pipeline.
Skills
Tools
- Enhance the existing data pipeline using industry-standard tools and mechanisms.
- Redesign and implement data pipeline to use AWS managed components.
- Implement data pipeline monitoring to alert us if there is any issue with the pipeline.
- Investigate and resolve any issue with data pipeline.
- Document the data pipeline solution and how to operate the data pipeline.
- Implement unit testing and integration testing for data pipeline component.
- At least 3 years hands-on working experience in data engineering, designing and building ETL pipelines.
- Experience in project execution and demonstrated technical expertise.
- Proficient in Python.
- SQL Knowledge.
- Shell scripts (Linux).
- Airflow or similar tool to create pipelines.
- AWS tools like S3, Glue, AWS EMR, Lambda, Step functions.
- Familiar with tools like AWS Batch, Athena, file formats like Parquet, NoSQL knowledge and tools like AWS OpenSearch.
- The engineer should be able to physically work from MOHT premises whenever requested by the project team.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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