MongoDB

2 months ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the Data Engineering team to build scalable ETL pipelines (Spark and big data). Design the Internal Data Platform architecture with medallion patterns, optimize cloud costs, and create AI agents to automate development tasks, while ensuring data security/compliance and data discoverability across platforms.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Guide the Data Engineering team on building high-performance ETL pipelines using Spark and other Big Data technologies
•Help design the architecture of the Internal Data Platform to support a robust medallion architecture
•Provide thought leadership on reducing infrastructure costs on Cloud hyperscalers
•Design and build AI agents to automate common development and support tasks
•Collaborate with Security, Compliance, Data Platform, and Governance teams to ensure proper data permissions, regulations, and data discoverability

Pay and Benefits

Perks:Parental LeaveFertility Assistance

Key Requirements

•10+ years experience with enterprise data lakes/warehouses
•5+ years of Spark and Python experience
•5+ years of hands-on AWS or GCP experience
•Strong AI knowledge, especially with codegen tools and agentic frameworks
•Experience with Hive, Iceberg, Glue or equivalent big data table technologies

Experience:10+ yearsData lakesWarehousesBig dataAI

Skills:LeadershipProblem-solvingCommunicationCollaborationStrategic thinking

Languages:English

Tech Stack:SparkPythonAWSGCPHiveIcebergGlueParquetAvroJSONAICodegenAgentic frameworks

Company Brief

MongoDB

Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.

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: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn

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MongoDB

2 months ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Guide the Data Engineering team on building high-performance ETL pipelines using Spark and other Big Data technologies
•Help design the architecture of the Internal Data Platform to support a robust medallion architecture
•Provide thought leadership on reducing infrastructure costs on Cloud hyperscalers
•Design and build AI agents to automate common development and support tasks
•Collaborate with Security, Compliance, Data Platform, and Governance teams to ensure proper data permissions, regulations, and data discoverability

Pay and Benefits

Perks:Parental LeaveFertility Assistance

Key Requirements

•10+ years experience with enterprise data lakes/warehouses
•5+ years of Spark and Python experience
•5+ years of hands-on AWS or GCP experience
•Strong AI knowledge, especially with codegen tools and agentic frameworks
•Experience with Hive, Iceberg, Glue or equivalent big data table technologies

Experience:10+ yearsData lakesWarehousesBig dataAI

Skills:LeadershipProblem-solvingCommunicationCollaborationStrategic thinking

Languages:English

Tech Stack:SparkPythonAWSGCPHiveIcebergGlueParquetAvroJSONAICodegenAgentic frameworks

Company Brief

MongoDB

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: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn