Job Role: Data Engineer

Role Overview and Expected Deliverables

The engineer will design, build and operate scalable, secure and analytics‑ready data pipelines and models across GCP BigQuery and AWS, delivering:
- Airflow‑orchestrated data workflows and automations.
- DBT Cloud transformations, testing frameworks and environment governance.
- Robust CI/CD and Infrastructure as Code (IaC) deployments (GitHub Actions, Bitbucket, Bamboo, Terraform or CloudFormation).
- Performance optimisation across data pipelines, SQL, BigQuery and AWS data services.
- High‑quality technical documentation, production support, incident response and handover to internal teams.
- Close collaboration with cross‑functional stakeholders including analytics, product and platform engineering.

Core Technical Requirements

Cloud & Platform Engineering:
- Strong proficiency across AWS and GCP.
- On AWS: IAM roles and policies, Lambda, S3, RDS, Redshift.
- On GCP: BigQuery, workload optimisation, cost management.

Data Engineering Tooling:




- Hands‑on experience building data pipelines for data warehouse environments.
- Solid SQL capability including analytical and window functions.
- Advanced dbt Cloud experience (models, SCDs, tests, macros, release management).
- Airflow workflow design including idempotency, backfills and monitoring.

DevOps, CI/CD & IaC:
- Experience with CI/CD (GitHub, Bitbucket, GitHub Actions, Bamboo).
- Infrastructure as Code using Terraform or CloudFormation.
- Familiarity with data quality frameworks and automated testing of pipelines.

Programming & Modelling:
- Proficiency in Python.
- Strong data modelling expertise: facts/dimensions, SCD patterns, performance optimisation.

Security, Data Governance & Operational Resilience:
- Solid grounding in cloud security best practices and least‑privilege IAM.
- Understanding of data access controls, regulated environments and governance expectations.

Delivery Approach & Ways of Working
- Experience working within Agile

📌 Data Engineer (Delhi)
🏢 Arminus
📍 Delhi