# Data Intelligence Specialist Job Opening 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. ## 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 - 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 ## Skills - Advanced SQL — object building, performance optimization, integration work at production grade - Python for pipeline and transformation scripting - Data mining technique — extraction, cleaning, transformation at scale - Data-quality engineering — validation rules, anomaly detection, deduplication - Integration design across heterogeneous sources and formats - Query performance tuning on multi-gigabyte corpora - Code literacy — reading and supporting the applications built on your data layer - Documentation discipline for reproducible pipelines - Problem-solving on messy, real-world data problems - Teamwork with analysts, platform engineers and collection staff - Discretion with NDA-grade datasets (non-negotiable) ## Tools - PostgreSQL 15 / SQL Server - Python 3.11 (pandas, SQLAlchemy-class tooling) - dbt-style transformation layering - Airflow-style pipeline scheduling - Git-reviewed pipeline repositories ## Questions and answers ### What are the requirements for Data Intelligence Specialist jobs at CryptoMize? 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. ### Are the Data Intelligence Specialist openings in Delhi? 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. ### Is this Data Intelligence Specialist vacancy immediate joining? 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. ### What does a Data Intelligence Specialist do at CryptoMize? 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. ### What is the salary for a Data Intelligence Specialist 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. ### How does the selection process work? 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. ### How is the specialist role different from the analyst role? Specialists 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. Apply: https://cryptomize.com/careers/job-openings/apply/