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Open nowPosted 14 hours ago

Associate Principal Engineer

Nagarro604 open roles

Where
Hyderabad, India
Work mode
On site
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Your applicationOpen nowAssociate Principal EngineerNagarro · Hyderabad, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nagarro's own form.

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Nagarro postings stay open a median of 21 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 14 hours ago

Nagarro median: 21 days open

The posting

Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Requirements

  • Experience : 9+years
  • Relevant experience in data engineering, database development, or cloud data platforms.
  • Strong hands-on experience with Snowflake architecture, data loading, SQL development, performance optimization, and security.
  • Strong proficiency in advanced SQL, including complex joins, window functions, stored procedures, query profiling, and troubleshooting.
  • Strong Python programming skills for data processing, automation, API integration, and error handling.
  • Hands-on experience developing and maintaining data pipelines using Azure Data Factory or comparable integration tools.
  • Practical experience with Snowflake Cortex AI, including Cortex Analyst, Cortex Search, and AI agent creation.
  • Experience with Snowpark for data transformation, processing, and application integration.
  • Strong understanding of ETL/ELT patterns, incremental loading, CDC, data validation, and data quality management.
  • Experience designing and maintaining dimensional and relational data models, semantic views, and semantic models.
  • Understanding of natural-language-to-SQL, semantic search, keyword search, embeddings, text chunking, and RAG concepts.
  • Experience integrating Snowflake AI capabilities with enterprise applications through APIs and Python.
  • Knowledge of Snowflake security and governance features, including RBAC, masking policies, row access policies, and auditing.
  • Experience with Git, Azure DevOps, version control, and automated deployment practices.
  • Strong analytical, troubleshooting, problem-solving, and communication skills.
  • Ability to collaborate effectively with cross-functional teams and translate business requirements into scalable data and AI solutions.
  • Experience mentoring junior engineers and following coding standards, documentation practices, and code review processes.

Responsibilities

  • Design, develop, and maintain scalable Snowflake data architectures to support data storage, processing, reporting, analytics, and AI-driven use cases.
  • Develop and optimize ETL/ELT pipelines using advanced SQL, Python, Snowpark, Azure Data Factory, and other integration tools such as SnapLogic.
  • Integrate structured and semi-structured data from databases, APIs, enterprise applications, and files, and prepare unstructured content for AI processing.
  • Implement full-load, incremental-load, and Change Data Capture (CDC) processes with appropriate data validation, reconciliation, error handling, and recovery mechanisms.
  • Develop and maintain dimensional and relational data models aligned with business requirements.
  • Build, configure, and optimize Snowflake tables, views, stored procedures, tasks, streams, and dynamic tables.
  • Analyze query profiles and optimize warehouse sizing, clustering, partition pruning, and caching to improve performance and control costs.
  • Review and enhance SQL and Python code to improve efficiency, security, reliability, and maintainability.
  • Implement data quality checks to ensure data completeness, accuracy, consistency, validity, and deduplication.
  • Design and implement AI-enabled data solutions using Snowflake Cortex AI, Snowpark, Cortex Analyst, Cortex Search, and AI agents.
  • Apply Snowflake Cortex AI functions to use cases such as text summarization, classification, information extraction, and data enrichment.
  • Develop semantic views and semantic models with clear business definitions and validated analytical queries to support natural-language analytics.
  • Implement AI-driven capabilities involving natural-language-to-SQL, semantic and keyword search, embeddings, text chunking, and Retrieval-Augmented Generation (RAG).
  • Integrate Snowflake AI capabilities with enterprise applications using APIs and Python.
  • Collaborate with business stakeholders to identify and deliver practical AI use cases across property, lease, availability, client, and market data.
  • Implement Snowflake security and governance controls, including role-based access control (RBAC), masking policies, row access policies, and auditing.
  • Monitor pipeline execution, data freshness, warehouse utilization, failures, and platform performance to ensure reliable production operations.
  • Establish logging, alerting, retry, and recovery mechanisms for data pipelines and AI-enabled solutions.
  • Maintain version-controlled code and support automated deployments using Git and Azure DevOps.
  • Document data architectures, mappings, pipelines, semantic definitions, and operational procedures.
  • Collaborate with application engineers, data analysts, architects, and business stakeholders throughout the development lifecycle.
  • Mentor junior engineers, conduct code reviews, and promote engineering best practices and continuous improvement.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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