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TRACK DOSSIER · JOB OPENINGREF: CM/JOB/DATA-INTELLI

Data Intelligence Specialist Job — Always Hiring

Data Intelligence Specialist Job in Delhi at CryptoMize

Data Intelligence Specialist jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis — analysts deliver insight, but someone has to mine, move and shape the data that insight is built from, and this role is that someone. This is a full-time, permanent position with immediate joining, based at our New Delhi HQ, engineering the collection-to-analysis pipeline inside the data cell. The specialist gathers business data through mining the platforms and sources the agency runs on, then makes it usable — integrated, validated, queryable. Below is the complete job description — responsibilities, requirements, the seniority path, and the selection process.

LOCATIONNew Delhi (HQ)
EMPLOYMENTFull-time · Permanent
AVAILABILITYImmediate · Rolling intake
COMPENSATIONDiscussed at screening
TRACKS ON THIS DESK26
CRAFT SKILLS NAMED11
TOOLS & SYSTEMS5
PATH STAGES4

01The actual work

What will you actually do as a Data Intelligence Specialist at CryptoMize?

Build and run the mining pipelines that pull gathered data out of platform collections and public sources into the working corpora

Construct SQL objects — tables, views, functions — that give analysts a clean surface to query instead of raw sprawl

Own data integration: joining platform exports, OSINT harvests and field returns into one coherent, versioned corpus per engagement

Performance-optimize the queries and transformations the cell runs daily, so analysis waits on thinking rather than runtime

Run the validation gate — completeness, deduplication, anomaly flags — before any corpus is accepted for analysis

Support the apps, reports and procedures built on the data layer: reading code, fixing breakage, improving the next iteration

Document every pipeline so the corpus can be rebuilt from source by someone who is not you

ROLE RESPONSIBILITIES

As a Data Intelligence Specialist at CryptoMize you will provide gathered data through mining the agency’s platform collections — building the pipelines, SQL objects and integrations that turn scattered sources into working corpora. The role is the engineering floor of the data cell: analysts get to think because specialists made the data arrive clean, joined and on time.

For a Data Intelligence Specialist, discretion is standing operating procedure — compartmentalization is how the engagement survives

Specialists also carry institutional responsibility for the cell’s leverage: documenting pipelines, mentoring juniors on method, and proposing the tooling upgrades that compound. The specialists whose pipelines outlive their own tenure are the ones promoted first.

02Capability profile

What skills and tools does a Data Intelligence Specialist need?

Advanced SQL — object building, performance optimization, integration work at production gradePython for pipeline and transformation scriptingData mining technique — extraction, cleaning, transformation at scaleData-quality engineering — validation rules, anomaly detection, deduplicationIntegration design across heterogeneous sources and formatsQuery performance tuning on multi-gigabyte corporaCode literacy — reading and supporting the applications built on your data layerDocumentation discipline for reproducible pipelinesProblem-solving on messy, real-world data problemsTeamwork with analysts, platform engineers and collection staffDiscretion with NDA-grade datasets (non-negotiable)
PostgreSQL 15 / SQL ServerPython 3.11 (pandas, SQLAlchemy-class tooling)dbt-style transformation layeringAirflow-style pipeline schedulingGit-reviewed pipeline repositories
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 intelligence specialist jobs · data mining specialist · data operations specialist · data specialist vacancy

03Seniority ladder

Data Intelligence Specialist — seniority path at CryptoMize

Specialists advance by the reliability of the data infrastructure they build, not tenure. The ladder below is how the specialist bench is actually organized. The data intelligence specialist track is reviewed against live engagement demand. Every element of the data intelligence specialist program is engagement-anchored, review-documented, and mentored end to end through all six months.

  1. Data Intelligence Specialist

    Owns the mining and integration pipelines for one to two engagements — the engineering hands of the data cell.

    1/4

  2. Senior Specialist

    Designs the corpus architecture for full engagements, sets the validation standards, and reviews pipeline work across the bench.

    2/4

  3. Data Infrastructure Lead

    Runs the specialist bench — platform integration strategy, tooling investment, and accountability for corpus readiness across engagements.

    3/4

  4. Data Engineer / Platform track

    The crossover route: specialists who graduate into full engineering seats, building the platforms their pipelines currently feed.

    4/4

04The engagement surface

CryptoMize work a Data Intelligence Specialist touches

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

Data Intelligence Specialist · Job Opening

This seat plugs into 6 live CryptoMize services across the five Penta-P domains — the work below is where yours lands.

6 SERVICESPENTA-P

WHAT DOES DATA INTELLIGENCE SPECIALIST 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 Intelligence Specialist Job — frequently asked questions

AAdvanced SQL object-building and optimization, Python pipeline scripting, and demonstrated integration work on messy multi-source data.

We do not care about degrees — your skillset is evaluated on technical experience and demonstrated capability.

AYes — the position is based full-time at our New Delhi HQ in Vasant Vihar, inside the data cell alongside the analysts your pipelines serve.

AYes.

Openings are rolling and always active — data infrastructure capacity is staffed ahead of engagements, so strong candidates are onboarded as soon as notice periods allow.

AThey engineer the path from collection to analysis — mining gathered data out of platforms and sources, integrating and validating it into versioned corpora, and keeping the pipelines the analytics cell runs on reproducible.

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.

AApplication, a practical pipeline-and-validation exercise on realistic sources, and a panel interview with the infrastructure lead plus a senior analyst.

Typical cycle: two to three weeks.

ASpecialists engineer the data path — mining, integration, validation, pipelines — while analysts run the interpretive pass that produces insight.

The two sit in the same cell and depend on each other; the strongest careers here cross both sides.

ROLLING INTAKE — ALWAYS HIRING

Apply now for the Data Intelligence Specialist Job at CryptoMize

New Delhi HQ · Immediate joining · Certification provided for internships

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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 Intelligence Specialist jobs at CryptoMize?
A: Advanced SQL object-building and optimization, Python pipeline scripting, and demonstrated integration work on messy multi-source data. We do not care about degrees — your skillset is evaluated on technical experience and demonstrated capability.

Q: Are the Data Intelligence Specialist openings in Delhi?
A: Yes — the position is based full-time at our New Delhi HQ in Vasant Vihar, inside the data cell alongside the analysts your pipelines serve.

Q: Is this Data Intelligence Specialist vacancy immediate joining?
A: Yes. Openings are rolling and always active — data infrastructure capacity is staffed ahead of engagements, so strong candidates are onboarded as soon as notice periods allow.

Q: What does a Data Intelligence Specialist do at CryptoMize?
A: They engineer the path from collection to analysis — mining gathered data out of platforms and sources, integrating and validating it into versioned corpora, and keeping the pipelines the analytics cell runs on reproducible.

Q: What is the salary for a Data Intelligence Specialist 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: How does the selection process work?
A: Application, a practical pipeline-and-validation exercise on realistic sources, and a panel interview with the infrastructure lead plus a senior analyst. Typical cycle: two to three weeks.

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