# Data Engineer Job Opening at CryptoMize Data Engineer jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis — the pipeline layer feeding forecasting and analytics at engagement scale is permanent infrastructure and we staff it ahead of demand. This is a full-time, permanent position with immediate joining at our New Delhi HQ, owning the ingestion and transformation backbone that moves OSINT harvests, sentiment corpora, electoral data, and media flows into the modeled tables our analysts and models query. The complete job description follows: responsibilities, requirements, seniority path, and selection process. Engineers who believe correctness is a personality trait — welcome home. The pipeline layer moves OSINT harvests, sentiment corpora, electoral data, and media flows at engagement scale, and every forecasting model the organization ships is exactly as trustworthy as the data you hand it. ## Facts - Location: New Delhi (HQ), CDR Building, Chhatarpur - Type: full-time permanent - Availability: immediate, rolling intake (always hiring) - Compensation: discussed at screening ## What you will actually do - Own pipeline domains end-to-end — ingestion, transformation, orchestration, and the on-call honesty that keeps them trustworthy - Design and evolve the data model our analytics and forecasting layers query: star-schema discipline, idempotent loads, incremental patterns - Build data-quality engineering as infrastructure — validation gates, poisoning detection, and anomaly alerting an intelligence shop actually needs - Operate orchestration at production scale: dependency chains, backfills, and failure handling that recovers without human archaeology - Own pipeline performance: noticing the slow transformation before the analyst does, and fixing it without breaking correctness - Set the operability standard — runbooks, monitoring, and documentation so any engineer can operate any pipeline - Sit at the foundation of an 89%-accuracy forecasting operation across 18 countries: every model is exactly as trustworthy as what we hand it - Contribute to the platform’s standards themselves — the review rubrics, runbook templates, and quality-gate patterns every pipeline inherits ## Skills - Expert SQL — transformation architecture, window functions, incremental/idempotent load design - Production Python — pipeline code reviewed, tested, and operable by others - Data modeling at scale — dimensional design and evolution without breaking downstream - Orchestration mastery — scheduling, backfills, dependency graphs, failure recovery - Data-quality engineering — validation gates, drift detection, poisoning defense - API ingestion at scale — rate limits, pagination, schema drift, hostile sources - Performance engineering — query planning, partitioning, load strategy - Infrastructure fluency — Linux, containerized pipeline deployment - Observability — pipeline monitoring that catches issues upstream of the analyst - Runbook and documentation discipline - Mentorship of pipeline interns and junior engineers - Confidentiality at NDA grade (non-negotiable) ## Tools - PostgreSQL 15 at production scale - Python 3.11 pipeline toolchain - dbt-style transformation layering - Airflow-class orchestration + containerized deployment ## Questions and answers ### What are the requirements for Data Engineer jobs at CryptoMize? Demonstrated production pipeline ownership — expert SQL, production Python, orchestration experience, and the correctness discipline real data platforms demand. A defensible pipeline you can walk through beats a certification — bring the one you are proudest of making reliable, including its failure modes and the monitoring that watches them. ### Are the Data Engineer job openings in Delhi? Yes — full-time permanent at our New Delhi HQ, on the platform layer feeding engagements across 18 countries. ### Is this Data Engineer vacancy immediate joining? Yes. Openings are rolling and always active — platform capacity is staffed ahead of engagements. ### What does a Data Engineer do at CryptoMize exactly? They own the ingestion-to-model backbone: pipeline domains, data modeling, quality engineering against adversarial inputs, orchestration, and the observability that keeps forecasting inputs trustworthy. ### What is the salary for a Data Engineer at CryptoMize? Compensation is discussed at screening and depends on demonstrated skill, engagement classification, urgency, and track record. We do not publish figures — each offer is built individually. ### What is the career growth for a Data Engineer here? The path runs Data Engineer → Senior → Data Platform Lead, with a crossover into broader infrastructure architecture. ### What is the difference between Data Engineer and Data Analyst roles here? The engineer owns how data arrives and holds its shape — pipelines, modeling, quality gates; the analyst owns what it says — queries, movement reads, recommendations. The two sit adjacent by design, and both feed the forecasting operation downstream. Apply: https://cryptomize.com/careers/job-openings/apply/