Posted:12 hours ago|
Platform:
Work from Office
Full Time
Role Proficiency:
Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities
Outcomes:
Measures of Outcomes:
Outputs Expected:
Code:
Documentation:
Configure:
Test:
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Manage knowledge:
Release:
Design:
Interface with Customer:
Manage Team:
Certifications:
Skill Examples:
Knowledge Examples:
- 5+ years of experience in data engineering with a strong focus on data migration projects. - Demonstrable expertise in ETL/ELT processes and methodologies. - Extensive hands-on experience with Azure Data Factory (ADF) - Mandatory - Proven experience in designing and implementing end-to-end data pipelines for various data sources and destinations. - Strong proficiency in Python/PySpark for data manipulation, scripting, and automation. - Expert-level SQL skills for data querying, manipulation, and optimization. - Solid experience with Azure DevOps for CI/CD pipeline implementation and management. - Hands-on experience with Infrastructure as Code (IaC) tools, specifically Terraform, for deploying and managing Azure resources. - Excellent understanding of data warehousing concepts, dimensional modeling, and data governance principles. - Strong analytical and problem-solving skills with a keen eye for detail. - Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. - Ability to work independently and as part of a team in a fast-paced environment.
Pyspark,Azure Data Factory,Etl,Terraform
UST
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