Manager, Analytics Engineering Job in MongoDB
- MongoDB Software India
- 2 to 6 Yrs
- Other Haryana
- 7 days ago
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Job Description
- MongoDBs 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, MongoDB 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 anywhereon premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, its no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for an Analytics Engineering Manager to grow and lead a small team of 1-3 Analytics Engineers, co-own our emerging analytics engineering practice, and play a critical role in further developing our rapidly growing Data Analytics organization. Partnering with people leaders and ICs within the analytics team and around the business, this role will facilitate the production of datasets used to surface key insights and drive business decision making. This role requires someone with strong analytical and technical skills, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Design and implement highly performant data post-processing pipelines Create shared data assets generating visibility into critical business metrics Partner with data engineering to expose governed datasets to the rest of the organization Make the team more efficient: Research and implement new tooling/processes team-wide; seek out and automate existing costly manual processes Serve as an analytical and technical thought partner to stakeholders on the analytics team and around the business Skills & Experience 2+ years of experience leading a team of analytics, data, or business intelligence engineers 4+ years of experience leading the technical execution of analytics engineering related projects of large scope and complexity Strong proficiency in SQL and experience working with relational databases Proficiency in Python for data manipulation, automation, and analysis Experience managing ETL and data pipeline orchestration with dbt and Airflow Experience with distributed data processing technologies like Hive, Trino (Presto), Spark, BigQuery Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable Strong knowledge of programming fundamentals, with an emphasis on code simplicity and performance Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment The ability to effectively collaborate cross-functionally to drive actionable and measurable results A passion for the role of data in helping solve complex questions Experience combining data from disparate data sources to identify insights that were previously unknown A desire to constantly learn and improve themselves Success Measures In 3 months you will have a deep understanding of your team, your stakeholder priorities, and an outline of priorities for the next 12 months In 6 months you will have built out key processes and cemented strong working relationships with your key stakeholders In 12 months you will have delivered on two to three projects that measurably improve analytics at MongoDB To drive the personal growth and business impact of our employees, were 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 its 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 ID hidden_mobile,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Manager, Analytics Engineering Job in MongoDB
Contact Details:
Company: MongoDBLocation(s): Other Haryana
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