Tiger Analytics - Senior Data Engineer - Azure Data Services

Role Overview :

We are seeking street-smart and technically strong Data Engineers who can take ownership of designing and developing cuttingedge

data and AI platforms using Azure-native technologies and Databricks. You will play a critical role in building scalable data pipelines, modern data architectures, and intelligent analytics solutions.

Key Responsibilities :

- Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets.

- Develop and optimize end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products.

- Build robust exception handling, logging, and monitoring mechanisms for better observability and operational support.

- Take ownership of complex modules and lead the development of critical data workflows and components.

- Provide guidance to data engineers and peers on best practices.

- Collaborate with cross-functional teamsincluding business consultants, data architects, scientists, and application developersto deliver impactful analytics solutions.

EXPERTISE AND QUALIFICATIONS :

- 6+ years of overall technical experience, with a minimum of 4 years of hands-on experience with Microsoft Azure and Databricks.

- Proven experience delivering at least one end-to-end Data Lakehouse solution on Azure Databricks using the Medallion Architecture.

- Strong working knowledge of the Databricks ecosystem, including : PySpark, Notebooks, Structured Streaming, Unity Catalog, Delta Live Tables, Workflows, and SQL Warehouse.

- Advanced programming, unit testing, and debugging skills in Python and SQL.

- Hands-on experience with Azure-native services such as : Azure Data Factory, ADLS Gen2, Azure SQL Database, and Event Hub.

- Solid understanding of data modeling techniques, including both Dimensional and Third Normal Form (3NF) models.

- Exposure to developing LLM/Generative AI-powered applications.

- Must have excellent understanding of CI/CD workflows using Azure DevOps.

- Bonus : Knowledge of Azure infrastructure, including provisioning, networking, security, and governance.

Educational Background :

- Bachelor's degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a reputed institute (preferred).