Senior/Lead Data Engineer

Cognizant; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

An innovative firm is seeking a skilled data engineer with expertise in Azure-based solutions and a strong command of Python and Spark technologies. This role involves designing and delivering data platform solutions, implementing data validation rules, and conducting data analysis. The ideal candidate will have hands-on experience with Azure ADF and Databricks, as well as a solid understanding of data modeling and agile methodologies. Join a forward-thinking team where your contributions will shape the future of data integration and analytics, and be part of exciting projects that drive impactful results.

Qualifications

• Strong experience in Azure-based data platform solutions.
• Hands-on experience in Python and knowledge of other languages.

Responsibilities

• Write Python/PySpark and Spark SQL code for validation and curation.
• Implement data migration and execute data analysis.

Skills

Python

PySpark

Spark SQL

Azure ADF

Databricks

Kafka

Azure Functions

Data modeling

Agile delivery

C#

Tools

Azure DevOps

GitHub

Power BI

Tableau

Azure Purview

Collabra

Job description

Please note that this role requires security clearance at SC level. You must be SC cleared to be considered for the role.

Tasks and Responsibilities:

Engineering:

• Ingestion configuration.
• Write python/pyspark and spark SQL code for validation/curation in notebook.
• Create data integration test cases.
• Implement or amend worker pipelines.
• Implement Data validation/curation rules.
• Convert data model data mapping to technical data mapping.
• Implement Integrations.
• Data migration implementation and execution.
• Data analysis (profiling etc).
• Azure DevOps/GitHub configurations for ADF and Databricks code.

Our ideal candidate:

Strong experience in designing and delivering Azure-based data platform solutions, technologies including:

1. Azure ADF and Databricks, Azure Functions, App Service, Logic App, AKS, Azure App Service, Web App.
2. Good knowledge in real-time streaming applications, preferably with experience in Kafka real-time messaging or Azure Functions, Azure Service Bus.
3. Spark processing and performance tuning.
4. File formats partitioning (e.g., Parquet, JSON, XML, CSV).
5. Azure DevOps/GitHub.

• Hands-on experience in at least one of Python with knowledge of the others.
• Experience of synchronous and asynchronous interface approaches.
• Knowledge in data modeling (3NF/Dimensional modeling/Data Vault2).
• Work experience in agile delivery.
• Able to provide comprehensive documentation.
• Able to set and manage realistic expectations for timescales, costs, benefits, and measures for success.

Nice to Have:

• Experience with integration and implementation of data cataloging tools like Azure Purview/Collabra.
• Experience in implementing and integrating visualization tools like Power BI/Tableau, etc.
• Experience in C# application development (ASP.NET MVP).