Sr. Azure Data Engineer

Technology Implementation Consulting





The Senior Data Engineer will be responsible for designing, implementing and managing data solutions on Azure platform.

Job Responsibilities

● Data ingestion and integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure.

● Data transformation and processing: perform data transformation and processing tasks to prepare the data for analysis and reporting.

● Data storage and management: Select and manage the appropriate storage solution for the data.

● Data warehousing: Implement data warehousing solutions.

● Data modelling and analysis: Design and implement data models for analytical workloads. Data modelling and analysis: Design and implement data models for analytical workloads.

● Data governance and security: Ensure data governance and security practices are implemented using tools like Purview and Profisee. Set-up data access controls, implement encryption, monitor data quality, and establish data retention policies.

● DevOps and automation: Automate data pipelines, monitor data processes, and manage deployments.

● This is a hands-on data engineering role. Only candidates with prior Microsoft Azure data engineering experience will be considered. Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are essential.


● Bachelor’s degree in Computer Science, Engineering, or related technical field. Master’s degree is preferred.

● Ideal candidate will have 9-10 years of total work experience. At least 6 years of experience as a Azure data engineer is a must.

● Sound skills and hand-on experience with Azure Data Lake, Databricks, Azure Synapse Analytics, Azure Data Factory, Cosmos DB, SQL Data Warehouse Azure Blob, Azure Storage Explorer.

● Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc.

● Hands-on experience of Azure Data Catalog, Event Grid, Service Bus, SQL and Synapse.

● A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java).

● Mandatory experience: Master Data Management (MDM) and Data Governance leveraging Microsoft Purview and Microsoft Profisee.

● Good technical knowledge in SQL Server BI suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS and Power BI.

● Good knowledge of building and designing REST APIs with realtime experience working on Data Lake or Lakehouse projects.

● Prior project experience in pharma, healthcare and life sciences will be advantageous.

Data Engineer, Azure, MDM, Data Cataloguing, Data Warehousing, Data Modelling, Data Governance, Data Security, Healthcare, Lifesciences, Biosciences, Pharma 

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