Azure Senior Data Engineer

Tiger Analytics; Pune District, Bengaluru, Delhi; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Tiger Analytics in Pune, India is seeking a Senior Data Engineer to design and build scalable data and AI platforms on Azure Databricks. You will own end-to-end data pipelines, implement robust data quality, and collaborate with cross-functional teams to deliver analytics solutions that impact business outcomes.

The role requires hands-on experience with Azure Databricks, PySpark, Delta Live Tables, and data modeling, plus strong Python/SQL skills and CI/CD practices using Azure DevOps.

Qualifications

• 3+ years of technical experience with Azure and Databricks.
• End-to-end Data Lakehouse on Azure Databricks using Medallion Architecture.
• Strong Databricks ecosystem knowledge: PySpark, Notebooks, Structured Streaming, Unity Catalog, Delta Live Tables, Workflows, SQL Warehouse.
• Advanced programming, unit testing, and debugging in Python and SQL.
• Experience with Azure-native services such as Azure Data Factory, ADLS Gen2, Azure SQL Database, and EventHub.
• Understanding of data modeling: Dimensional and 3NF models.
• Exposure to developing LLM/Generative AI-powered applications.
• CI/CD workflows using Azure DevOps.
• Bonus: Azure infrastructure knowledge: provisioning, networking, security, governance.

Responsibilities

• Design and implement scalable, metadata-driven data ingestion, quality, and transformation pipelines across batch and streaming datasets.
• Develop end-to-end data pipelines to enable analytical data products.
• Build robust exception handling, logging, and monitoring for observability and ops support.
• Take ownership of complex modules and lead development of critical data workflows and components.
• Provide guidance to data engineers on best practices.
• Collaborate with cross-functional teams to deliver impactful analytics solutions.

Skills

Python

SQL

Azure

Databricks

PySpark

Notebooks

Structured Streaming

Unity Catalog

Delta Live Tables

Workflows

SQL Warehouse

Azure Data Factory

ADLS Gen2

Azure SQL Database

EventHub

CI/CD DevOps

LLM / Generative AI

Education

Bachelor’s degree in CS/IT

Tools

Azure Data Factory

ADLS Gen2

Azure SQL Database

EventHub

Job description

Databricks - Senior Data Engineer

JOB DESCRIPTION

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack

AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to

push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 6000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely

with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top

10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Curious about the role? What your typical day would look like?

Role Overview:

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

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 teams—including business consultants, data architects, scientists, and application developers—to deliver impactful analytics solutions.

EXPERTISE AND QUALIFICATIONS

3+ years of overall technical experience, with a minimum of 2 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 EventHub.
• 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).

We are an equal- opportunity employer. Ourdiverse and inclusive

culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire, packages are among the best in

industry.