Company Details

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Assignment Details

Our client, a leading biopharmaceutical company, is looking for an independent consultant who can deliver the following responsibilities:

The Azure Data Engineer will focus specifically on developing solutions leveraging cloud-based data platforms and associated technologies based on Modern Data Platform (MDP) Architecture. You will be responsible for expanding and optimising data and pipeline architectures and for optimising data collection and flow across functional teams. Your responsibilities include assisting software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing and future projects.

More specifically, you will have the following responsibilities:
- Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services
- Provide technical and thought leadership in areas such as data access & ingestion, data processing, data integration, data modelling, database design & implementation
- Engage and collaborate with IT Business Partners to understand business requirements/use cases and translate them into detailed technical specifications
- Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL
- Ensure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements
- Maintain best practice standards for the development of cloud-based data solutions
including naming standards
- Deliver successful outcomes in projects, identify value propositions for internal customers, provide inputs for strategic development in specific area(s) of expertise, and to maintain knowledge and educate junior team members as required

Year One Critical Success Factors

- Successfully complete project implementations within time, cost and quality standards, in line with business and IT expectations
- Successfully deploy data pipelines to build Azure data lake
- Successfully develop data sourcing techniques that ensure data accuracy, integrity and accessibility

Skills Required

Professional Experience / Skills / Qualifications

- Bachelor’s or Master’s degree in in Computer Science or Engineering OR equivalent years of
work experience
- 5+ years of proven experience in designing and hands-on development in Azure cloud-based
data and analytics solutions
- Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required
- Designing and building of data pipelines using API ingestion and Streaming ingestion methods
- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential
- Experience in Modern Data Platforms related technologies such as Snowflake, Matillion, BryteFlow is a distinct advantage
- A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores
- Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable
- Experience of mapping key Enterprise data entities to business capabilities and applications
- Working knowledge of Python is desirable
- Familiarity with Agile / Scrum methodologies

Soft Skills
- Excellent verbal and written English communications skills
- Strong interpersonal skills, with the demonstrated ability to engage well internally with colleagues who have both technical and non-technical backgrounds to develop shared solutions
- Excellent creative problem-solving skills, including undertaking research to inform problem definitions
- Be a team player liaising with business and technology teams across Biocon Biologics