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.
LOCATION New Delhi (HQ)
EMPLOYMENT Full-time · Permanent
AVAILABILITY Immediate · Rolling intake
COMPENSATION Discussed at screening
TRACKS ON THIS DESK26
CRAFT SKILLS NAMED11
TOOLS & SYSTEMS5
PATH STAGES4
01
01The actual work
What will you actually do as a Data Intelligence Specialist at CryptoMize?
01
Build and run the mining pipelines that pull gathered data out of platform collections and public sources into the working corpora
02
Construct SQL objects — tables, views, functions — that give analysts a clean surface to query instead of raw sprawl
03
Own data integration: joining platform exports, OSINT harvests and field returns into one coherent, versioned corpus per engagement
04
Performance-optimize the queries and transformations the cell runs daily, so analysis waits on thinking rather than runtime
05
Run the validation gate — completeness, deduplication, anomaly flags — before any corpus is accepted for analysis
06
Support the apps, reports and procedures built on the data layer: reading code, fixing breakage, improving the next iteration
07
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.
02
02Capability profile
What skills and tools does a Data Intelligence Specialist need?
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Craft skills11 Tools & systems5 Offer standards4
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
03
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.
Data Intelligence Specialist
Owns the mining and integration pipelines for one to two engagements — the engineering hands of the data cell.
1/4
Senior Specialist
Designs the corpus architecture for full engagements, sets the validation standards, and reviews pipeline work across the bench.
2/4
Data Infrastructure Lead
Runs the specialist bench — platform integration strategy, tooling investment, and accountability for corpus readiness across engagements.
3/4
Data Engineer / Platform track
The crossover route: specialists who graduate into full engineering seats, building the platforms their pipelines currently feed.
4/4
04
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
Big Data Mining
Data Security
Data Recovery
OSINT
Trend Analysis
Sentiment Analysis
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
01 Depth of demonstrated skill in the specific role discipline
02 Classification and scope of the client engagement the role supports
03 Urgency and time-sensitivity of active project requirements
04 Track record built across CryptoMize engagements
