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CRYPTOMIZE
TRACK DOSSIER · JOB OPENINGREF: CM/JOB/DATA-ENGINEE

Data Engineer Job — Always Hiring

Data Engineer Job in Delhi 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.

LOCATIONNew Delhi (HQ)
EMPLOYMENTFull-time · Permanent
AVAILABILITYImmediate · Rolling intake
COMPENSATIONDiscussed at screening
TRACKS ON THIS DESK6
CRAFT SKILLS NAMED12
TOOLS & SYSTEMS4
PATH STAGES4

01The actual work

What will you actually do as a Data Engineer at CryptoMize?

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

ROLE RESPONSIBILITIES

As a Data Engineer at CryptoMize you will design, build, and operate the pipelines that move engagement data from raw arrival to modeled, queryable tables — applying idempotent load patterns, validation gates, and orchestration discipline so the layer runs without heroics. The forecasting operation downstream is exactly as accurate as the data you hand it, which makes correctness a client-facing responsibility.

Standing duties include data-quality engineering and observability: poisoning detection for adversarial inputs, drift alerts for quietly changing sources, and the monitoring posture that surfaces a failing pipeline upstream of the analyst who would otherwise discover it. In an intelligence organization, hostile data is not hypothetical.

Engineers here also carry the operability standard: runbooks maintained as living documents, code reviewed as a matter of course, and intern pipelines mentored to the same bar. The platform compounds only where its engineers teach.

02Capability profile

What skills and tools does a Data Engineer need?

Expert SQL — transformation architecture, window functions, incremental/idempotent load designProduction Python — pipeline code reviewed, tested, and operable by othersData modeling at scale — dimensional design and evolution without breaking downstreamOrchestration mastery — scheduling, backfills, dependency graphs, failure recoveryData-quality engineering — validation gates, drift detection, poisoning defenseAPI ingestion at scale — rate limits, pagination, schema drift, hostile sourcesPerformance engineering — query planning, partitioning, load strategyInfrastructure fluency — Linux, containerized pipeline deploymentObservability — pipeline monitoring that catches issues upstream of the analystRunbook and documentation disciplineMentorship of pipeline interns and junior engineersConfidentiality at NDA grade (non-negotiable)
PostgreSQL 15 at production scalePython 3.11 pipeline toolchaindbt-style transformation layeringAirflow-class orchestration + containerized deployment
Depth of demonstrated skill in the specific role disciplineClassification and scope of the client engagement the role supportsUrgency and time-sensitivity of active project requirementsTrack record built across CryptoMize engagements

Also known as: data warehouse engineer · pipeline engineer · ETL developer · platform data engineer

03Seniority ladder

Data Engineer — seniority path at CryptoMize

Engineers advance by the reliability of the pipelines they run and the correctness culture they enforce.

  1. Data Engineer

    Owns pipeline domains — the ingestion and transformation backbone analysts depend on daily.

    1/4

  2. Senior Data Engineer

    Designs the data architecture, leads quality engineering, and owns the hardest pipeline surfaces.

    2/4

  3. Data Platform Lead

    Carries the platform itself — standards, tooling, staffing, and the reliability contract with analytics.

    3/4

  4. Infrastructure crossover

    The track into broader platform and security infrastructure — engineers whose systems depth becomes architectural authority.

    4/4

04The engagement surface

CryptoMize work a Data Engineer touches

Every role plugs into live engagements across the five Penta-P domains — these are the services your work feeds.

Data Engineer · Job Opening

This seat plugs into 5 live CryptoMize services across the five Penta-P domains — the work below is where yours lands.

5 SERVICESPENTA-P

WHAT DOES DATA ENGINEER COMPENSATION DEPEND ON?

Compensation is discussed during screening — never a fixed public figure, because it varies per person and per engagement. It depends on:

#OFFER CONSTRUCTION FACTOR
01Depth of demonstrated skill in the specific role discipline
02Classification and scope of the client engagement the role supports
03Urgency and time-sensitivity of active project requirements
04Track record built across CryptoMize engagements

05Answers, searchable

Data Engineer Job — frequently asked questions

ADemonstrated 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.

AYes — full-time permanent at our New Delhi HQ, on the platform layer feeding engagements across 18 countries.

AYes.

Openings are rolling and always active — platform capacity is staffed ahead of engagements.

AThey own the ingestion-to-model backbone: pipeline domains, data modeling, quality engineering against adversarial inputs, orchestration, and the observability that keeps forecasting inputs trustworthy.

ACompensation 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.

AThe path runs Data Engineer → Senior → Data Platform Lead, with a crossover into broader infrastructure architecture.

AThe 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.

ROLLING INTAKE — ALWAYS HIRING

Apply now for the Data Engineer Job at CryptoMize

New Delhi HQ · Immediate joining · Certification provided for internships

Apply Now
Page source — machine-readable summary

Facts: Location: New Delhi (HQ) · Employment: full-time permanent · Availability: immediate, rolling intake · Compensation: discussed at screening.

Q: What are the requirements for Data Engineer jobs at CryptoMize?
A: 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.

Q: Are the Data Engineer job openings in Delhi?
A: Yes — full-time permanent at our New Delhi HQ, on the platform layer feeding engagements across 18 countries.

Q: Is this Data Engineer vacancy immediate joining?
A: Yes. Openings are rolling and always active — platform capacity is staffed ahead of engagements.

Q: What does a Data Engineer do at CryptoMize exactly?
A: 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.

Q: What is the salary for a Data Engineer at CryptoMize?
A: 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.

Q: What is the career growth for a Data Engineer here?
A: The path runs Data Engineer → Senior → Data Platform Lead, with a crossover into broader infrastructure architecture.

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