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:

- Solid 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.
- Strong 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 delivery frameworks.
- Use of JIRA and Confluence for delivery management and documentation.
- Proven track record collaborating effectively in multi‑disciplinary teams across engineering, product and analytics.

Specialisations

- BigQuery performance tuning and cost optimisation.
- DBT Cloud governance (contracts, tests, macros, release processes).
- Airflow workflow optimisation and monitoring.
- Cross‑cloud pipelines and data movement (AWS ↔ GCP).
- Security, IAM and data‑access design for regulated financial services environments.

Experience & Other

- 8 or more years experience in data engineering or equivalent technical roles.
- Strong problem‑solving capability, comfortable troubleshooting pipeline failures and performance issues.
- Strong communication and stakeholder management skills.
- Self‑starter able to lead components independently while partnering closely with internal teams.
- Experience supporting production environments, including incident response and root‑cause analysis.
- All intellectual property rights retained by client

📌 Data Engineer (Delhi)
🏢 Arminus
📍 Delhi