ETIC, Azure Data Engineer, Associate

PwC is hiring an ETIC, Azure Data Engineer, Associate in Cairo, Egypt. Level rates it ; you can apply on PwC.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Databricks.
Level classifies it as a junior role.
Level lists 3,700+ other open roles at PwC.

AI in this role

Databricks

Line of Service

Industry/Sector

Specialism

Management Level

Associate

Job 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.

Job Description

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 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

How we rate this

ETIC, Azure Data Engineer, Associate at PwC rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.