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Onsite or remote • Bangalore Urban+1💼 Full-time🗓 2026-06-25

Core

Design and implement scalable, secure, and high-performance data architectures on Azure, focusing on ELT/ETL pipelines, data ingestion, transformation, and storage solutions.

Role type

Senior Azure Data Engineer (Consultant/Manager)

Builds

Scalable data architectures, ETL/ELT pipelines, data ingestion and transformation solutions, and real-time processing workflows on Azure.

Domain

Cloud Data Engineering (Azure ecosystem)

Deliverable

production ML models | product features | infrastructure

Required skills

Azure Data Factory (ADF), Databricks, Pyspark, SQL, Azure Functions, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Delta Live Tables, Event Hubs, Stream Analytics, GitHub Actions, Azure DevOps, Data Modeling, Data Integration, Data Manipulation, Key Vault, Azure Monitor, Log Analytics

Preferred skills

Project management, Scrum team leadership, External technical ecosystem exposure, Azure Certifications (Data Engineer Associate, Solutions Architect), Databricks Certification, Experience in regulated environments

Technologies

Azure, Databricks, Synapse Analytics, Delta Live Tables, Event Hubs, Stream Analytics, Key Vault, ADLS, SQL Server, Fabric, GitHub, Azure DevOps

Responsibilities

Design and optimize ETL/ELT data pipelines; Implement data ingestion, transformation, and storage solutions; Develop batch and real-time data processing solutions; Ensure data quality, governance, and security; Deploy data solutions using CI/CD pipelines; Troubleshoot and optimize data workflows for scalability and performance; Mentor data engineers and analysts; Provide technical direction and design reviews.

Seniority

Senior, hands-on IC with management responsibilities

Rewrite
## About the role Experience Band: 7 – 11 years Band: Sr. Consultant/ Manager Location: Bangalore. Relevant Experience: 5+ Years ## Mandatory skills - Databricks - Pyspark - SQL - Azure Functions - Live / Streaming / batch processing data - Azure Data Factory (ADF) - Logic Apps - ELT / ETL - Data Modelling - Data Integration & Ingestion - Data Manipulation and Processing - GITHUB - Action - Azure DevOps ## Optional skills - Experience in project management, running a scrum team. - Exposure to working with external technical ecosystem. ## Key Skills - Design and implement scalable, secure, and high-performance data architectures on Azure. - Design, develop, and optimize ETL/ELT data pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics. - Implement data ingestion, transformation, and storage solutions using Azure Data Lake, Azure SQL, and Azure Synapse. - Develop batch and real-time data processing solutions using Azure services like Delta Live Tables, Event Hubs, Stream Analytics, and Azure Functions. - Development experience as a data engineer with focus on core tools and technologies like ADF, Databricks, Key Vault, ADLS, SQL Server / Any RDMS, Fabric, Azure Synapse. - Strong SQL and Python skills for data transformation and analysis. - Design and implement data models, schemas, and performance-optimized queries. - Work with structured, semi-structured, and unstructured data sources. - Ensure data quality, governance, and security in all solutions. - Deploy data solutions using Azure DevOps CI/CD pipelines. - Work closely with data scientists, analysts, and business users to support data-driven decision-making. - Troubleshoot and optimize data workflows for scalability and performance. - Ensure data solutions are cost-optimized, scalable, and secure on Azure. - Implement logging, monitoring, and alerting solutions using Azure Monitor and Log Analytics ## Secondary skills - Project management – status reports, stand up, knowledge on Agile methodology - Stake holder management - Mentor data engineers and analysts - Provide technical direction and design reviews - A determined focus on the user and user experience when problem- solving - Team player and able to collaborate, proactively communicates and shares understanding and experience within a team - Clear communicator and able to work in a multicultural/lingual environment - Uses initiative and owns their deliverables end-to-end - Brings ideas to the table, is inquisitive and excited by new technology - Used to working in a flexible, independent manner on a mixture of small unstructured and large structured items - Provides regular, considered feedback and regularly strives to improve their own ways of working ## Soft Skills - Engage with business leaders, developers, infra, and security teams - Understand business requirements deeply - Manage expectations and negotiate priorities - self-starter and proactive to provide cost and performance-oriented solutions. ## Preferred Qualifications / Certifications - Bachelor's degree in computer science, information technology, management information systems or equivalent work experience - Experience working in regulated environments and with internal systems quality policies and procedures. - Experience in development and deployment on cloud infrastructure. - Azure Certifications (Azure Data Engineer Associate, Azure Solutions Architect). - Databricks Certification
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