Senior Data Engineer - Azure Databricks (6+ To 10 Yrs)

Tiger Analytics; Pune District, Chennai, Bengaluru; Híbrido; INR 1.400.000 - 2.200.000; Jornada completa

Descripción de la vacante

Tiger Analytics is seeking a technically strong Senior Data Engineer to take design ownership of next-generation Data and AI platforms using Microsoft Azure.

Strict eligibility requires 6+ to 10 years of hands-on IT experience, with minimum 4+ years dedicated to the Azure Data Stack (ADLS, ADF, Databricks/Synapse). You will lead the architecture of high-performance data pipelines, build modern data infrastructures, and deploy intelligent analytics solutions.

Formación

• 6+ to 10 years of hands-on total IT experience
• Minimum 4+ years dedicated to Azure Data Stack (ADLS, ADF, Databricks/Synapse)
• Profiles with less than 6 years of total experience will not be considered for this role.

Responsabilidades

• Framework Design: Architect scalable, metadata-driven frameworks for data ingestion, quality validation, and transformation across complex batch and real-time streaming datasets.
• Pipeline Engineering: Develop and optimize end-to-end production data pipelines to process structured and unstructured data into high-value analytical products.
• Observability & Support: Build robust exception handling, unified logging, and proactive monitoring mechanisms to ensure platform reliability and seamless operational support.
• Technical Ownership: Take complete accountability for high-complexity modules, leading the implementation of critical data workflows and core platform components.
• Engineering Excellence: Provide direct guidance to data engineers, conduct constructive code reviews, and establish rigorous development standards.
• Cross-Functional Collaboration: Partner with Business Consultants, Data Architects, Data Scientists, and Application Developers to build and deliver strategic analytics ecosystems.

Conocimientos

Data engineering

Azure

Architecture design

Herramientas

ADLS

ADF

Databricks

Synapse

Azure Data Lake

Descripción del empleo

Tiger Analytics is seeking a technically strong Senior Data Engineer to take design ownership of next-generation Data and AI platforms using Microsoft Azure.

Strict Eligibility: 6+ to 10 years of hands-on total IT experience (Mandatory)

Relevant Experience: Minimum 4+ years dedicated to Azure Data Stack (ADLS, ADF, Databricks/Synapse)

(Note: Profiles with less than 6 years of total experience will not be considered for this role.)

In this role, you will lead the architecture of high-performance data pipelines, build modern data infrastructures, and deploy intelligent analytics solutions.

Key Responsibilities

• Framework Design: Architect scalable, metadata-driven frameworks for data ingestion, quality validation, and transformation across complex batch and real-time streaming datasets.
• Pipeline Engineering: Develop and optimize end-to-end production data pipelines to process structured and unstructured data into high-value analytical products.
• Observability & Support: Build robust exception handling, unified logging, and proactive monitoring mechanisms to ensure platform reliability and seamless operational support.
• Technical Ownership: Take complete accountability for high-complexity modules, leading the implementation of critical data workflows and core platform components.
• Engineering Excellence: Provide direct guidance to data engineers, conduct constructive code reviews, and establish rigorous development standards.
• Cross-Functional Collaboration: Partner with Business Consultants, Data Architects, Data Scientists, and Application Developers to build and deliver strategic analytics ecosystems.

Important Note: We have an urgent business requirement and are actively looking for immediate joiners or candidates serving a notice period (available to join within 1530 days).