Job Description - Data Engineer

You should apply if you have
3 years of experience as a Data Engineer, Analytics Engineer, or in a similar data-platform role
.Strong SQL and Python, with the ability to build, debug, and optimize production data pipelines
.Hands-on experience with a cloud data stack — AWS preferred (S3, Glue, Redshift) — and modern ELT tooling
.Experience ingesting data from diverse sources (transactional databases, SaaS APIs, file dumps) into a warehouse or lakehouse
.Exposure to transformation frameworks like dbt and orchestration tools (Airflow, Glue, or similar)
.A reliability mindset — you care about data freshness, quality, monitoring, and infrastructure cost
.The ability to work independently and own systems end-to-end in a build-from-scratch environment
.An AI-first mindset and comfort using AI tools (Copilot, Claude, etc.) to accelerate engineering work
.You should not apply if you
:Prefer working only on well-defined tickets over designing systems from scratch
.Are uncomfortable owning production pipelines, reliability,



or debugging messy real-world data
.Need constant direction and struggle with ambiguity or greenfield problems
.See data engineering as just "moving data" rather than enabling business decisions
.Are resistant to feedback, learning new tools, or leveraging AI to improve your productivity
.Prefer babysitting legacy jobs over building scalable, automated, version-controlled pipelines
.Are uncomfortable with cost and ownership accountability in a fast-paced, high-growth workplace
.Don't enjoy collaborating with analysts and stakeholders to understand what the data is for
.Are looking for a narrow role rather than one that demands ownership, curiosity, and continuous improvement

.
Skills Require
d:Technical Skil
lsAdvanced SQL (joins, CTEs, window functions, query optimization, aggregation
s)Python for data pipelines and automati
onCloud data platforms — AWS (S3, Glue, Redshift) preferr
edELT/ETL design and orchestration (Ai

📌 Data Engineer (Gurugram)
🏢 Nutrabay
📍 Gurugram