Data Engineer - Azure

Mindshare; Gurugram District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Mindshare is seeking a Senior Data Engineer for its Global Operations Centre in India (Gurugram/Bangalore). You will design, build, and optimize enterprise ETL/ELT pipelines using Azure Data Factory and Data Lake Storage, while ensuring scalability, security, and reliability across multi-region teams.

You will lead automation, CI/CD practices, and data governance, delivering high-performance solutions for analytics and media teams, and driving data platform modernization with Databricks and DBT.

Qualifications

• 3-5 years of progressive experience in data engineering with Azure/Cloud focus.
• Expert-level mastery of Azure Data Factory, SQL, and cloud data platforms.
• Experience designing, optimizing, and managing large-scale production data pipelines.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines using Azure data tools and serverless tech.
• Implement advanced SQL solutions for analytics and real-time data processing.
• Lead automation via Python and API orchestration to streamline data lifecycle.

Skills

Azure Data Factory

SQL

Python

Data pipeline design

Cloud data platforms

Tools

Databricks

DBT

Terraform

Wrike

Jira

Azure DevOps

Job description

Job Summary

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Senior Data Engineer, based out of Gurgaon/Bangalore who will:

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies-ensuring cross-platform scalability, security, and reliability.
• Implement highly efficient, complex SQL solutions-including advanced query optimization, partitioning, and indexing-to power sophisticated analytics models and enable real-time data processing.
• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.

Senior-Level Expectations

• Act as the organization s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

• 3-5 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
• Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

Good to Have

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP-203 / GCP Data Engineer certifications