Software Engineer 3

MongoDB is hiring a Software Engineer 3 in Gurugram.

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of i

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

• Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place

• Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable

We’re looking for someone with

• 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

• Familiarity with different big data file types such as Parquet, Avro, JSON etc

• Background in building data platforms on Cloud (e.g. AWS, GCP, Azure)

• Exposure to real-time or streaming data technologies is a plus

Success Measures

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally dist