MongoDB

2 months ago

Software Engineer 3

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join the Data Pipelines Engineering team to design, build, and maintain scalable ETL/ELT pipelines for the Internal Data Platform. You’ll work with Python and Spark across batch, file-based, and streaming architectures, ensure data quality and timeliness, model large datasets with Parquet/Avro/JSON and Iceberg/Hive, deploy on AWS/GCP, and collaborate with data analysts/scientists and security teams to enable scalable, compliant data delivery.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build and maintain efficient, scalable ETL/ELT pipelines using Python and Spark across batch, file-based, and streaming architectures
•Ensure data quality, reliability and timeliness across pipelines by following established data engineering best practices
•Model and store large datasets using modern file formats (Parquet, JSON, Avro) and table formats (Iceberg, Hive)
•Deploy pipelines on cloud infrastructure, leveraging Cloud-based technologies (mostly AWS, some GCP) to build and deploy data pipelines
•Partner with Data Analysts and Data Scientists to understand their needs and deliver the datasets that drive their work

Key Requirements

•4+ years of building ETL pipelines for a Data Lake/Warehouse
•Expertise in Python, Spark, SQL, Airflow
•Experience with data warehousing and engineering concepts, analytical data modeling, data quality validation, monitoring, and pipeline reliability practices
•Hive, Iceberg, Glue, or other technologies that expose big data as tables
•Background in building data platforms on Cloud (e.g. AWS, GCP, Azure)

Experience:4+ yearsData engineeringCloudBig dataAnalytics

Skills:PythonSparkSQLAirflowParquetAvroJSONIcebergHiveAWSGCPAzure

Languages:English

Tech Stack:PythonSparkSQLAirflowParquetAvroJSONIcebergHiveAWSGCPAzure

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

Loading job details...

Preparing the role view and application actions.

MongoDB

2 months ago

Software Engineer 3

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build and maintain efficient, scalable ETL/ELT pipelines using Python and Spark across batch, file-based, and streaming architectures
•Ensure data quality, reliability and timeliness across pipelines by following established data engineering best practices
•Model and store large datasets using modern file formats (Parquet, JSON, Avro) and table formats (Iceberg, Hive)
•Deploy pipelines on cloud infrastructure, leveraging Cloud-based technologies (mostly AWS, some GCP) to build and deploy data pipelines
•Partner with Data Analysts and Data Scientists to understand their needs and deliver the datasets that drive their work

Key Requirements

•4+ years of building ETL pipelines for a Data Lake/Warehouse
•Expertise in Python, Spark, SQL, Airflow
•Experience with data warehousing and engineering concepts, analytical data modeling, data quality validation, monitoring, and pipeline reliability practices
•Hive, Iceberg, Glue, or other technologies that expose big data as tables
•Background in building data platforms on Cloud (e.g. AWS, GCP, Azure)

Experience:4+ yearsData engineeringCloudBig dataAnalytics

Skills:PythonSparkSQLAirflowParquetAvroJSONIcebergHiveAWSGCPAzure

Languages:English

Tech Stack:PythonSparkSQLAirflowParquetAvroJSONIcebergHiveAWSGCPAzure

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