Software Engineer, Data Platform Job Vacancy in MongoDB Gurgaon, Haryana – Updated today

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Full Details :
Company Name : MongoDB
Location : Gurgaon, Haryana
Position :

Job Description : The database market is massive (IDC estimates it to be $121B+ by 2025!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

Headquartered in New York, with offices across North America, Europe, and Asia-Pacific, MongoDB has more than 31,000 customers, which include some of the largest and most sophisticated businesses in nearly every vertical industry, in over 100 countries.

MongoDB is growing rapidly and seeking a Data Engineer Platform to be a key contributor to the overall internal data platform at MongoDB. You will design and build a scalable data-driven platform to help drive MongoDB’s growth as a product and as a company, while also lending your technical expertise to other engineers as a mentor and trainer. You will take on complex platform problems with the goal of making our platform more scalable, reliable, and robust.

This role is remote optional until 4 April 2022, we are looking to speak to candidates who plan to be available in Gurugram Office when we introduce our hybrid model.

Who?

You have experience with

several programming languages (Python, Scala, Go, etc.)
building scalable data intensive microservices
orchestration tools such as Airflow, Luiji, Azkaban, Cask, etc.
a diverse set of SQL and NoSQL databases like MongoDB, Cassandra, Redshift, Postgres, etc.
different storage formats like Parquet, ORC, Avro, Arrow, and JSON
data processing frameworks like Spark or Apache Beam
AWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc.
Git and Github
CI/CD Pipelines

Also

Constantly think of ways to squeeze better performance out of a data platform
Communicate with stakeholders to discover requirements for designing and building a solution that will scale to their needs
Plan effective data storage, security, sharing, and publishing within the organization
Design boilerplate architecture that can abstract underlying technology from end users
Design, manage, and test disaster recovery procedures for a variety of data platforms
Value code simplicity and performance
Obsess over data: everything needs to be accounted for and be thoroughly tested
Build great things alone, but the greatest things in collaboration with others
Bonus Points

You are deeply familiar with Spark and/or Hive
You have experience with Airflow
You have experience with different storage format like Parquet, ORC, Avro, Arrow, and JSON
You are familiar with deployment and configuration tools such as Kubernetes, Drone, and Terraform
You have expert experience building microservices
You’ve built an end-to-end production-grade data platform that runs on cloud infrastructure
Streaming data processing frameworks like Kafka, Spark Structured Streaming, or Flink
You have experience building a machine learning platform using tools like SparkML, Pytorch, Tensorflow, Scikit-Learn, etc.
You have experience building a web frontend using frameworks like React

What?

As a Data Engineer, Platform, you will

Estimate task complexity, report progress, and voice risks to peers and managers
Both learn from and teach peers and junior engineers
Develop and maintain expertise in big data best practices
Build a large-scale batch and real-time data platform that will make engineering pipelines seamless and scalable
Help drive best practices in continuous integration and delivery
Help drive optimization, testing, and tooling to improve data platform quality
Collaborate with other software engineers, machine learning experts, and stakeholders, taking learning and leadership opportunities that will arise every single day

Success Measures

In three months you will have familiarized yourself with much of our data platform, be making regular contributions to our codebase, will be collaborating regularly with stakeholders to widen your knowledge, and helping to resolve incidents and respond to user requests
In six months you will have successfully investigated, scoped, executed, and documented a small to medium sized project and worked with stakeholders to make sure their data needs are satisfied by implementing improvements to our platform
In a year you will have become the key person for several projects within the team and will have contributed to the data platform’s roadmap. You will have made several sizable contributions to the project and are regularly looking to improve the overall stability and scalability of the architecture

Do you know, Why MongoDB is a fantastic place to work and build your career?
Top NoSQL database in the world
Largest Ecosystem and the fastest growing database in the world
Close to 31,000 customers in more than 100 countries and over 210+ million downloads
Sequoia Capital and a number of other Top VC firms have invested in MongoDB. Sequoia Capital calls us out as one of their flagship portfolios; Sequoia has also invested in Apple, Google, Youtube, and WhatsApp
9-figure revenue company, with very high double-digit growth rates
Be a part of the company that’s reinventing the database, focused on innovation and speed
Enjoy a fun, inspiring culture that is engineering focused
Work with talented people around the globe
Learn, contribute, and make an impact on the product and community

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

“MongoDB is an equal opportunities employer.”

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