Senior Analytics Engineer

Position: Senior Analytics Engineer I
Mongo

DB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, Mongo

DB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use Mongo

DB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust Mongo

DB to build next-generation, AI-powered applications.
Summary
As a  Senior   Analytics Engineer I  at Mongo

DB, 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 Mongo

DB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.
This role can be based out of Gurugram.
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), Spark

SQL, Google Big Query

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
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 Mongo

DB  , and help us make an impact on the world!
Mongo

DB 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.
Mongo

DB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.