Senior Azure Data Developer Jobs

Skills: Spark, Databricks, Azure, Data Lake experience

Role: Senior Azure Data Architect

Salary: Up to £110k + Bonus

What’s in it for you?

• Technologist are treated as the company's #1 asset

• Low attrition rate; people working there love what they do on a daily basis!

Participating in architecture and system design discussions and offering critical feedback

Working closely with Engineering Managers and Developers to find the best solutions for their data needs

Continuously improving our implementation as new requirements are discovered

4+ years of experience working with productive software engineering teams and writing high-quality software

Experience with any of the following technologies is a bonus: Apache Pulsar, Kubernetes, Operating data-platform’s at scale

Experience in monitoring and maintaining data pipelines for efficiency and smooth operation

• Experienced with Workflow Management Tools: Airflow, Crontab, CA Workload Automation

• Previous work experience in the financial sector (insurance or benefits industry)

• Experienced with working on Structured and Semi-Structured datasets

• Experienced in creating data pipelines & developing complex and optimized queries

• Experience with implementing CI / CD pipeline on GitHub, Jenkins / JGP

• Experience writing complex SQL and NoSQL jobs to analyze data in traditional DBMS (MS-SQL, Oracle) environments

• Strong skills in software configuration management/code management using GIT

• Strong experience with .Net, C#, XML

• Strong experience in Azure apps integration

• Good knowledge on Azure Microservices Automation

• Solid experience in MSSQL server/Oracle

• Knowledge in Hadoop ecosystem, Hive, Impala and Sqoop

Proven sound experience in developing applications in Azure using Azure SQL.

Experience in Azure SQL including: creating databases, tables, stored procedures, CTEs, views, functions etc.

Senior Azure Data Developer Mandatory Skills:

Developing and maintaining Azure Data pipelines using Azure Data Factory.

Working with structured and semi structured data (csv ,json, parquet)

Proficient in current software development lifecycle processes and data development methodologies, tools, and best practices.