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حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيحالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيLine of Service
Industry/Sector
Specialism
Management Level
AssociateJob Description & Summary
The Data Engineering Associate helps evaluate requirements assist in design discussions and sprint planning for the construction of data pipelines Extraction and Transformation logic. They will be competent in Python Programming SOLID and DRY Design principles. The SA Data Engineer will leverage their skills in relational databases cloud storage and data wrangling to support business decisions and insights. The role requires a strong foundation in data management practices and the ability to mentor junior engineers.Key Responsibilities:
Build and maintain scalable data pipelines and architectures to process large volumes of data efficiently.
Implement and manage relational databases and relational database management systems (RDBMS) using Python SQL and other languages.
Engage in data wrangling and cleaning processes to ensure data quality and consistency.
Conduct code reviews and adhere to coding standards to maintain the quality and integrity of data engineering solutions.
Collaborate with cross-functional teams to identify data requirements and implement appropriate data solutions.
Mentor junior engineers and provide guidance on best practices in data engineering.
Required Skills & Experience:
2 years experience.
SOLID and DRY Programming principles - The ability to plan execute and evaluate code for compliance with industry best practices
Python Programing - The ability to write efficient executable code for the creation of Data Pipelines
Restful APIs - The ability to integrate API calls into dat streams
Azure Databricks or similar product (Microsoft Fabric etc.) - Create Jupyter Notebooks using Python Libraries create and manage workflows and pipeline
Set Theory - foundational principles for handling data organization relationships and operations within large data sets. This knowledge allows them to efficiently manipulate query and integrate data ensuring accurate and scalable solutions for complex data engineering tasks.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline Data Preprocessing Data Quality 33 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
IC
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