Description
Sr.Data Engineer
REQUIREMENTS
Demonstrate knowledge and real-world experience on Big data technologies. A successful history of handling performance issues, processing, extracting issues and fixing bugs.
· Experience managing and optimizing ‘big data’ data pipelines, architectures and data sets.
· We are looking for a candidate with 7 + years of experience in a Data Engineer role. They should also have experience using the following software/tools:
o Experience working on Azure data factory, Azure Synapse, Power Apps, Logic Apps.
o Experience with relational SQL databases such as Oracle, SQL Server, MySQL and reading, writing and deducing technical logics from stored procedures
o Experience on visualization tools such as PowerBI/Tableau
o Experience supporting and working with cross-functional teams in a dynamic environment.
Good Academic track record preferred.
Certified DP-203, PL-300 and AZ-900 preferred.
QUALIFICATIONS
· Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
· 5-8 years of relevant experience.
· Negotiable salary.
Sr.Data Engineer
REQUIREMENTS
Demonstrate knowledge and real-world experience on Big data technologies. A successful history of handling performance issues, processing, extracting issues and fixing bugs.
· Experience managing and optimizing ‘big data’ data pipelines, architectures and data sets.
· We are looking for a candidate with 7 + years of experience in a Data Engineer role. They should also have experience using the following software/tools:
o Experience working on Azure data factory, Azure Synapse, Power Apps, Logic Apps.
o Experience with relational SQL databases such as Oracle, SQL Server, MySQL and reading, writing and deducing technical logics from stored procedures
o Experience on visualization tools such as PowerBI/Tableau
o Experience supporting and working with cross-functional teams in a dynamic environment.
Good Academic track record preferred.
Certified DP-203, PL-300 and AZ-900 preferred.
QUALIFICATIONS
· Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
· 5-8 years of relevant experience.
· Negotiable salary.
