Data Engineer

Job details

Work model

Not provided by source

Salary

Not listed by source

Location

Singapore

Occupation

Database Architects(O*NET 15-1243.00)

Hiring context

How this role compares at AvePoint

AvePoint has 296 live roles in MeritLog’s catalog across 11 job families, and 46 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com. At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! Key Responsibilities • Analyze data needs and document technical requirements. • Migrate data collection processes to more efficient channels. • Plan, design, and implement data engineering jobs and reporting solutions to meet analytics needs. • Develop test plans and scripts for system testing and support user acceptance testing. • Collaborate with technical teams to ensure smooth deployment and adoption of new solutions. • Ensure the smooth operation and performance of IT solutions, including addressing production issues. What We Are Looking For • Strong understanding of waterfall/Agile methodologies. • Hands-on experience with DevOps deployment and data virtualization tools such as Denodo (preferred). • Proficiency with reporting or visualization tools like SAP BO and Tableau. • Experience working with Hive, Impala, and Cloudera Data Platform is preferred. • Expertise in big data engineering, using Python, Pyspark, Linux, and ETL tools like Informatica. • Strong SQL skills and experience in data modeling and analysis. • Knowledge of analytics and data warehouse implementations. • Ability to troubleshoot complex technical issues. • Experience in high-availability, high-performance systems hosted in data centers or hybrid cloud environments is a plus. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

• Revenue Economics AnalystMetropolis · Not provided by source
• Regional Manager, MilwaukeeMetropolis · Hybrid
• Manager, Central Cloud InfrastructureMetropolis · Hybrid
• Senior Manager, Machine Learning EngineeringMetropolis · Hybrid
• Director, Applied AIMetropolis · Hybrid
• Manager, CompensationMetropolis · Not provided by source