Senior Analytics Engineer I

Posted Yesterday
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Gurugram, Haryana
Hybrid
Senior level
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
The Senior Analytics Engineer I designs, develops, and maintains analytics solutions, ensuring data integrity and enabling insights for decision-making across the business.
Summary Generated by Built In

As a Senior Analytics Engineer I at MongoDB, you will play a critical role in leveraging data to drive informed decision-making and simplify end user engagement across our most critical data sets. You will be responsible for designing, developing, and maintaining robust analytics solutions, ensuring data integrity, and enabling data-driven insights across all of MongoDB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Responsibilities
  • Design, implement, and maintain highly performant data post-processing pipelines
  • Create shared data assets that will act as the company’s source-of-truth for critical business metrics 
  • Partner with analytics stakeholders to curate analysis-ready datasets and augment the generation of actionable insights
  • Partner with data engineering to expose governed datasets to the rest of the organization
  • Make impactful contributions to our analytics infrastructure, systems, and tools
  • Create and manage documentation, and conduct knowledge sharing sessions to proliferate tribal knowledge and best practices
  • Maintain consistent planning and tracking of work in JIRA tickets
Skills & Attributes
  • Bachelor’s degree (or equivalent) in mathematics, computer science, information technology, engineering, or related discipline
  • 3-5 years of relevant experience
  • Strong Proficiency in SQL and experience working with relational databases
  • Solid understanding of data modeling and ETL processes
  • Proficiency in Python for automation, data manipulation, and analysis
  • Experience managing ETL and data pipeline orchestration with dbt and Airflow
  • Comfortable with command line functions
  • Familiarity with Hive, Trino (Presto), SparkSQL, Google BigQuery
  • Experience with cloud data storage like AWS S3, GCS
  • Experience with managing codebases with git
  • Consistently employs CI/CD best practices
  • Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable
  • Experience combining data from disparate data sources to identify insights that were previously unknown
  • Previous project work requiring expertise in business metrics and datasets
  • Strong communication skills to document technical processes clearly and lead knowledge-sharing efforts across teams.
  • The ability to effectively collaborate cross-functionally to drive actionable and measurable results
  • Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
  • A passion for AI as an enhancing tool to improve workflows, increase productivity, and generate smarter outcomes.
  • A desire to constantly learn and improve themselves
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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

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 an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Requisition ID2263168253

Top Skills

Apache Airflow
Aws S3
Ci/Cd
Dbt
Git
Google Bigquery
Hive
Python
Sparksql
SQL
Trino

What the Team is Saying

Sunsharay
Sachin
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Garaudy
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The Company
HQ: New York, NY
5,550 Employees
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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MongoDB Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible
HQNew York, NY
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Sydney, Aus
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Singapore
Austin, TX
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Barcelona, Catalonia
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Ciudad de México, Ciudad de México
Gurugram, Haryana
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Hanyang, KR
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London, GB
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Milano, IT
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Palo Alto, CA
Paris, FA
San Francisco, CA
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