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Azure Data Engineer at Zensar Technologies UK Ltd

, , South Africa -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

T-SQL, Python, ETL Development, Data Wrangling, Databricks, Automated Tests, SQL Programming, Data Warehouse Modelling, Kimball, Dimensional Modelling, Data Vault 2.0, Azure Data Factory, Synapse Analytics, ADLS Gen2, Data Governance, Deployment Pipelines

Industry

IT Services and IT Consulting

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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Responsibilities

The Azure Data Engineer will focus on data analysis and exploration using T-SQL and develop ETL processes using Python, particularly in Databricks. They will also be responsible for building robust data pipelines and ensuring data governance practices are followed.