Principal Data Engineer

Position Summary

We are seeking a skilled Principal Data Engineer to lead and deliver data projects, develop enterprise data roadmaps, implement robust data solutions and support to the business on various Data Requirement. This role involves deploying technologies like Snowflake, Azure, and Data Bricks, managing data pipelines, and resolving complex data issues. The ideal candidate will design scalable architecture, leverage advanced features, and optimize data ecosystems to support business needs.

Job Key Responsibilities

• Lead and execute business data projects.

• Monitoring and maintaining production data pipelines.

• Troubleshooting and resolving data-related issues in real time.

• Ensuring high availability and reliability of data systems.

• Performing routine maintenance, upgrades, and failover testing.

• Collaborating with support teams to ensure smooth daily operations.

• Develop the enterprise data roadmap for Support Teams.

• Direct the implementation of Data Cloud technologies (Azure/Snowflake/Data Bricks/ Data Science S/w Hub) using industry best practices.

• Develop, document, maintain and support elegant data solutions

• Develop documentation of the data architecture, flow, and warehouse models.

• Provide resolution to complex data pipeline-related problems.

• Deploy Snowflake features such as data sharing, events, and lake-house patterns. Leverage Snowflake utilities such as SnowSQL, SnowPipe, and Big Data modeling techniques using Python.

• Manage Azure services such as ADLS, Azure Data Factory, Azure Data Lake Gen 2, Azure Synapse, Azure Monitor, Azure DevOps, Azure Key Vault, and Azure Analysis.

Education and Experience Profil

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• Bachelor's degree in computer/software engineering from a reputed tier-1 or tier-2 institute/university

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• At least 15-17 years of total experience with a minimum 5 years of experience in data platforms. Must have implemented and/or worked on 3-5 modern data platforms

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• Design and implementation of large-scale modern data platforms on the cloud

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• Data warehousing and Business Intelligence, including design, development, and implementation of Enterprise Data Hub

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• Migration of On-Prem RDBMS to Snowflake

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• CI/CD pipelines and configurations

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• Ingestion, Identification, analysis, and interpretation of trends in complex data sets

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• Data analysis, lineage, pipelines, quality, reconciliation, transformation rules, and flow diagrams

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• Design and delivery of systems based on Azure IaaS, PaaS, and SaaS

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• Strong written and verbal communication skills in English are a must

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• Demonstrated experience working collaboratively in cross-functional teams

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• Must be self-motivated, responsive, professional, and dedicated to customer success

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• Possess an innovative, problem-solving, and solutions-oriented mindse

tAt IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connection with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their, but not limited to, gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, persons with disabilities, nationality, age, marital and maternity status.

IndiGo does not charge fees for Job Interviews, Registration, Verification or Offer Letters. All Official communication will be from verified IndiGo IDs (e.g., ). Please report any fake job offer to eco.goindigo.i

n'At IndiGo we are committed to fostering an inclusive and equitable workplace. All employment decisions are made solely on the basis of merit and qualifications, without regard to a candidate's gender, race, color, religion, caste, creed, ethnicity, language, sexual orientation, marital status, maternity status, disability, or social and economic background

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