Snowflake Data Engineer

EY; Hyderabad, Pune District, Bengaluru; Presencial; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

EY Hyderabad is seeking an experienced data engineer to design scalable ELT/ETL pipelines using Snowflake, Snowpark Python, and advanced ingestion patterns. You will build reusable platform patterns, implement CI/CD, IaC, and integrate Snowflake with enterprise APIs and orchestration tools.

You will enable Cortex AI functions and agentic operations to drive AI-powered data discovery, semantic retrieval, and governed data products across the Snowflake platform.

Formación

• Experience designing scalable ELT/ETL with Snowflake and Snowpark Python.

Responsabilidades

• Design and implement scalable ELT/ETL frameworks using Snowflake, SQL, Snowpark Python, Dynamic Tables, Streams, Tasks, and Snowpipe.
• Develop ingestion pipelines supporting batch, event-driven, CDC, streaming, API-based ingestion.
• Develop reusable platform patterns for onboarding, standards, templates, logging, and cost controls.
• Integrate Snowflake with enterprise APIs, source systems, orchestration platforms, and CI/CD pipelines.
• Implement Cortex AI Functions, Cortex Search, Cortex Analysts, and AI-driven data discovery and governance.

Conocimientos

Snowflake

SQL

Snowpark Python

Dynamic Tables

Streams & Tasks

Snowpipe

Cortex AI

CI/CD

IaC

APIs integration

Data Governance

Herramientas

Immuta

Purview

Collibra

Git

Snowflake Horizon

Descripción del empleo

Experience Guide

• 4-10 years

Your key responsibilities

• Snowflake Data Engineering
  • Design and implement scalable ELT/ETL frameworks using Snowflake, SQL, Snowpark Python, Dynamic Tables, Streams, Tasks, and Snowpipe.
  • Develop ingestion pipelines supporting batch, event-driven, CDC, streaming, API-based, and third-party service ingestion patterns.
  • ering, query performance, storage design, and cost efficiency.
  • Experience with Aladdin.
• Snowflake Platform Engineering
  • Develop reusable platform patterns for onboarding, database/schema standards, pipeline templates, logging, monitoring, cost controls, and operational support.
  • Implement Git connectivity, branching strategy, pull requests, code reviews, CI/CD, Infrastructure as Code, release automation, and environment promotion.
  • Integrate Snowflake with enterprise APIs, source systems, orchestration platforms,
• Cortex AI & Agentic Enablement
  • Implement Cortex AI Functions, Cortex Search, Cortex Analyst, Cortex Agents, vector search, semantic retrieval, RAG, and conversational BI patterns.
  • Enable AI-powered data discovery, enterprise search, contextual exploration, and AI-ready data products over governed Snowflake datasets.
  • Apply agentic operations for anomaly detection, query/failure diagnosis, data quality recommendation, documentation generation, and incident summarisation.
• Governance, Security & Data SRE
  • Implement RBAC/ABAC, masking policies, row/column-level security, tags, classification, lineage, audit logging, secrets management, and policy-as-code.
  • Integrate with Immuta, Snowflake Horizon, Microsoft Purview, Collibra, IAM, monitoring