Senior Data Engineer

Snowflake
Pune
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5-8 yearsEducation: bachelorsSkills: ["Ownership","Architectural reasoning","Written communication","Verbal communication","Collaboration"]

Design and build production-ready data models, pipelines, and infrastructure across the enterprise data lifecycle—from ingestion and transformation to consumption. Own end-to-end system design tradeoffs, set data quality and governance standards, and optimize ingestion from diverse sources. Partner with Product to deliver data platform tools, lead testing and risk mitigation, and translate ambiguous requirements into well-scoped technical work, using SQL, Python, Snowflake, dbt, and Apache Airflow.

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FursaFursa
Snowflake
Snowflake
2 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design and build production-ready data models, pipelines, and infrastructure across the enterprise data lifecycle—from ingestion and transformation to consumption. Own end-to-end system design tradeoffs, set data quality and governance standards, and optimize ingestion from diverse sources. Partner with Product to deliver data platform tools, lead testing and risk mitigation, and translate ambiguous requirements into well-scoped technical work, using SQL, Python, Snowflake, dbt, and Apache Airflow.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and launch production-ready data models and pipelines across the enterprise data lifecycle.
  • •Own end-to-end system design decisions, evaluating tradeoffs and clearly documenting architectural choices.
  • •Implement data governance frameworks and maintain rigorous data quality standards across the platform.
  • •Develop and optimize data ingestion processes from diverse enterprise sources.
  • •Align with the Product roadmap to build data platform tools, provide feature feedback, and lead QA via test strategies and risk identification.

Key Requirements

  • •Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent practical experience) focused on system design, distributed systems, or data warehousing.
  • •5–8 years of hands-on experience building and operating production data pipelines, data models, and platform infrastructure at scale.
  • •Expert-level SQL and strong Python skills, including performance tuning, query optimization, and schema design for large-scale analytical workloads.
  • •Hands-on experience with Snowflake, including Snowpark, dynamic tables, data sharing, Snowflake Cortex, and cost optimization.
  • •Strong dbt expertise (advanced modeling patterns, testing frameworks, macro authoring, and governance) and proficiency with Apache Airflow (DAG design, operators, dependency management).
Experience:5-8 yearsData engineeringAnalyticsData platformsWarehouseCloud
Education:Bachelor's in Computer Science, Information Systems, or a related field
Skills:OwnershipArchitectural reasoningWritten communicationVerbal communicationCollaboration
Tech Stack:SQLPythonSnowflakeSnowparkDynamic tablesData sharingSnowflake CortexDbtMacro authoringApache AirflowDAG designDimension modelingData vaultSemantic layerAWSAzureGCPInfrastructure-as-codeKafkaSnowpipe Streaming

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn