Data Intelligence Specialist

CryptoMize; New Delhi; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

CryptoMize in New Delhi is hiring a Data Intelligence Specialist to design and run data mining pipelines, build scalable SQL objects, and integrate disparate data sources. You will work at our New Delhi HQ on permanent, full-time basis with immediate joining.

Responsibilities include collecting business data from platform sources, ensuring data quality, and delivering clean, queryable data to analysts for insights and decision making.

Qualifications

• Proficiency in SQL and data warehousing concepts.
• Experience with data mining techniques and data quality practices.
• Ability to design robust data integrations across heterogeneous sources.

Responsibilities

• Build and run mining pipelines to collect data from platforms and sources into working corpora.
• Create clean SQL objects (tables, views, functions) for analysts.
• Own data integration by joining exports and OSINT into a versioned corpus per engagement.

Skills

Advanced SQL

Python scripting

Data mining

Data quality

Integration design

Query optimization

Tools

PostgreSQL 15

SQL Server

dbt

Airflow

Job description

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.

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

Skills that matter:

Advanced SQL, Python for pipeline and transformation scripting, Data mining technique, Data-quality engineering, Integration design across heterogeneous sources and formats, Query performance tuning on multi-gigabyte corpora.

Tools you will use:

PostgreSQL 15 / SQL Server, Python 3.11, dbt-style transformation layering, Airflow-style pipeline scheduling.

Location:

New Delhi (HQ), E4, Vasant Vihar. Type: full-time permanent. Availability: immediate, rolling intake. Compensation: discussed at screening.