Data Engineer (FrontEnd) in Mumbai, India - Jobeax
Vacancy description
Data Engineer (FrontEnd) in Mumbai, India
Skillyt
Rs 22 - 30 lakhs p.a.
India, Mumbai
Data Engineer (FrontEnd) in Mumbai, India is listed on Jobeax. Browse 30,000+ vacancies available.
The Role You own the data substrate and the batch runtime of a product we are building from scratch. This is a data-specialist seat, not a general backend seat. Routine application development is guided in weekly reviews; what cannot be substituted is your depth in data modeling, set-based computation, and pipeline correctness. You will work self-directed, writing your own specs and decisions, with your tests and documentation carrying the quality bar between reviews. Stack: Python, PostgreSQL, Django, server-rendered frontend (htmx). What You Will Own Core Responsibilities / Engineering Focus Deep third-party data ingestion Build reliable ingestion pipelines for external data sources Account for silently dropped webhooks through reconciliation with source-of-truth totals Large-scale batch computation Use set-based SQL for processing large datasets Ensure jobs complete within fixed nightly processing windows Multi-tenant reliability Maintain strict tenant isolation Ensure one tenant’s bad data does not impact another tenant’s processing Backfill & replay capabilities Design systems to support backfills and replays as standard capabilities Avoid relying on one-off emergency scripts Append-only & auditable data Maintain immutable, auditable records Ensure every automated decision can be reconstructed and traced Resilient vendor API integrations Build for failures and unreliable external systems Implement retries, circuit breakers and reconciliation mechanisms Operational reliability Build strong alerting and monitoring Handle database partitioning effectively Design and maintain idempotent jobs
What We Are Looking For Required Ideal Candidate Profile
5–8 years of experience building and operating production systems — years are a proxy; the skills below are the actual bar.
Strong PostgreSQL expertise
Schema design
Query planning and optimization
Batch performance at real scale
Production data pipeline ownership Ingestion Transformation Reconciliation Data serving Experience should go beyond application CRUD/ORM work. Strong SQL & data thinking Thinks in sets, not loops Multi-step SQL transformations Window functions Statistical aggregates, percentiles & distributions Incremental computation Experience building cohort, retention or funnel metrics from raw event/order data Production Python backend experience Experience with any Python backend framework is fine Able to keep business logic cleanly separated from framework-specific code Strong testing mindset Tests are part of the development process, not an afterthought Especially experienced with testing batch jobs and reconciliation systems where data errors can remain unnoticed Production problem-solving / “war stories” Has dealt with real incidents such as:
Queues backing up Webhooks silently dropping Data loss or inconsistencies Reconciliation catching issues that went unnoticed
Strong written communication Comfortable with documentation-driven development Can write clear specs, decisions and technical documentation High ownership Comfortable building systems from scratch Can independently own outcomes with minimal supervision
Good to have Production Django experience E-commerce / D2C platform experience Streaming & event-driven architecture Kafka or similar systems Familiarity with probabilistic data structures HyperLogLog Bloom Filters t-digest ~ Comfort with server-rendered applications/screens when required
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