Data Engineer

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

Job summary

CryptoMize in New Delhi seeks a Data Engineer to own the ingestion and transformation backbone for OSINT and analytics at scale. You will work on the data model and pipelines that feed forecasting models and dashboards, ensuring correctness and reliability from source to queryable tables.

We value expert SQL and Python, data modeling at scale, and orchestration mastery, with immediate joining for a full-time permanent role based at our New Delhi HQ.

Qualifications

• Expert SQL, Production Python, Data modeling at scale.
• Orchestration mastery, Data-quality engineering, API ingestion at scale.

Responsibilities

• 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

Skills

SQL

Python

Data modeling

Orchestration

Data quality

API ingestion

Tools

PostgreSQL 15

dbt

Airflow

Containerization

Job description

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.

What you will actually do:

• 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

Skills that matter:

Expert SQL, Production Python, Data modeling at scale, Orchestration mastery, Data-quality engineering, API ingestion at scale.

Tools you will use:

PostgreSQL 15 at production scale, Python 3.11 pipeline toolchain, dbt-style transformation layering, Airflow-class orchestration + containerized deployment.

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