Live opening · Posted 5 days ago

Analytics Engineer - Immediate Joiner ONLY

Postbridge Technologies (AI Startup) · Mumbai, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyPostbridge Technologies (AI Startup)
LocationMumbai, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

Company Description
Postbridge Technologies is an AI-focused startup dedicated to building data-driven products and solutions for modern businesses. The company emphasizes innovation, rapid experimentation, and the practical application of machine learning and analytics. Team members collaborate closely across engineering, data science, and product to turn complex data into actionable insights. Joining Postbridge Technologies offers the opportunity to work in a fast-paced environment and contribute directly to the growth and impact of AI-driven platforms.
Role Description
This is a full-time, on-site Analytics Engineer role based in Mumbai, intended for candidates who can join immediately. The Analytics Engineer will design, build, and maintain robust data pipelines and transformation layers that power our analytics and AI-driven applications. This is fundamentally a SQL and Python-first role — you will spend most of your time writing sophisticated data models, building clean transformation logic, and ensuring that the metrics powering our product decisions are correct and well-documented.
Core responsibilities include developing scalable data models on PostgreSQL, implementing and owning ETL/ELT processes on AWS, optimizing data warehousing solutions for reliability and performance, and collaborating with data scientists, analysts, and product teams to translate business requirements into trusted data. You will also own data quality monitoring, reconciliation, and the documentation that makes your work reproducible by others.
Qualifications
Advanced SQL is non-negotiable — window functions, CTEs, complex aggregates, query plan analysis, and performance tuning in PostgreSQL are daily tools, not occasional ones
Strong Python skills for data transformation, pipeline scripting, and automation — clean, production-grade code, not just notebook-style scripts
Hands-on experience with AWS data services (S3, RDS, Glue, Redshift, Lambda, or equivalents) as the primary cloud environment
Deep PostgreSQL experience: schema design, indexing strategies, query optimization, and working with large datasets at real scale
Experience designing and building data models from raw transactional or event data — you know what grain means, you think about idempotency, and you've built incremental models before
Familiarity with dbt or equivalent transformation frameworks is a strong plus
You've built retention, cohort, funnel, or behavioral metrics from scratch off raw data — not just consumed them from a BI tool
Strong data quality instincts — a silently wrong metric concerns you more than a loud pipeline failure
Ability to work collaboratively with cross-functional teams and communicate data concepts clearly in writing
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
Immediate availability to join on-site in Mumbai and readiness to work in a fast-paced startup environment
Only the SQL/Python depth, AWS, and Postgres specifics were meaningfully added — everything else stays close to your original. Want any section pushed harder or softened?

Work arrangement
No

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