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Azure Data Engineer

Develop and optimize robust Azure-based data pipelines for enterprise data warehousing
South Africa
Mid-Level
yesterday
Zensar Technologies

Zensar Technologies

Provides digital transformation, cloud, data engineering, and IT services to enterprises across industries, leveraging innovation and agile delivery models.

13 Similar Jobs at Zensar Technologies

Job Title

Job Description

Excellent data analysis and exploration using T-SQL

Proficiency in Python for ETL development and data wrangling, especially in Databricks.

Experience writing automated tests for data pipelines

Strong SQL programming (stored procedures, functions)

Knowledge and experience of data warehouse modelling methodologies (Kimball, dimensional modelling, Data Vault 2.0)

Experience in Azure – one or more of the following: Data Factory, Databricks, Synapse Analytics, ADLS Gen2

Experience in building robust and performant ETL processes

Azure Data products and MS Fabric

Experience in using source control & ADO

Awareness of data governance tools and practices (e.g., Azure Purview)

Understanding and experience of deployment pipelines

Excellent analytical and problem-solving skills, with the ability to think critically and strategically.

Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.

To always act with integrity and embrace the philosophy of treating our customers fairly

Analytical, ability to arrive at solutions that fit current / future business processes

Effective writing and verbal communication

Organisational skills: Ability to effectively manage and co-ordinate themselves.

Ownership and self-motivation

Delivery focus

Assertive, resilient and persistent

Team oriented

Deal well with pressure and highly effective at multi-tasking and juggling priorities

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Azure Data Engineer
South Africa
Engineering
About Zensar Technologies
Provides digital transformation, cloud, data engineering, and IT services to enterprises across industries, leveraging innovation and agile delivery models.