Senior Data Engineer

Role/Position : Data Engineer

Experience Level : 5+ years

Shift : Night shift (7:00 PM to 4:00 AM)

Work Mode : Work from the office

Location : Hyderabad, India

What You Bring :

- 7+ years of experience building, testing, and deploying data engineering systems.

- Experience with at least one distributed data system, and the ability to reason about consistency, latency, throughput, and fault tolerance.

- Strong SQL and proficiency with at least one of (py)Spark, DBT, or Airflow in production.

- Experience with Infrastructure-as-Code systems such as Terraform, AWS CDK, or Pulumi.

- Understanding or strong interest in supply chain and the data challenges it creates.

- A self-starter who takes initiative, moves fast, and ships while collaborating on big challenges.

- Enthusiastic about working closely with team members to develop creative solutions to novel problems.

- Excellent written and oral communication in English.

- Tech : DBT, Databricks, (py)Spark, Airflow, Prefect, SQL, Iceberg/Delta; familiarity with the broader Veho stack (Kinesis, EMR, Sigma, Pulumi) a plus.

- Comfortable using modern AI coding assistants (Claude Code, Cursor, Copilot, or similar) and experienced with AI-native workflows - prompting, agentic tooling, evaluations, retrieval - and willing to bring them into your data engineering practice.

- A plus : Demonstrated, measurable success building with LLMs, evaluating model outputs, or integrating AI into data pipelines or internal tooling.

(ref:hirist.tech)