AvePoint - Data Engineer

• 4 to 10 years • Good understanding and completion of projects using waterfall/Agile methodology. • Good understanding of analytics and data warehouse implementations. • data warehouse • Ability to troubleshoot complex issues ranging from system resource to application stack traces. • Strong SQL, data modelling and data analysis skills are a must. • Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica. • Python, PySpark, Linux, and ETL tools like Informatica • Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred. • Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred. • Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required. • SAP BO and Tableau • Passion for automation, standardization, and best practices. • Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders. • AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities. • 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.