YOUR ROLE

- Keep pipelines healthy:

You monitor and support production data pipelines built on Airflow, dbt and PySpark, and resolve failures within agreed SLAs.

- Resolve incidents for positive:

You triage issues, run root-cause analysis and implement permanent fixes instead of repeating workarounds.

- Optimise Snowflake:

You maintain and tune Snowflake queries, models and warehouses for performance, reliability and cost.

- Own on-call and alerting:

You respond to alerts, take part in the on-call rotation and escalate and coordinate with other teams when needed.

- Serve our stakeholders:

You handle data requests, bug reports and enhancements, prioritise by business impact and keep stakeholders updated until closure.

- Prevent the next incident:

You improve monitoring, testing and data quality checks, and write runbooks and incident reports so knowledge is shared across the team.

- Be a role model in the project team:

You pass on your way of working in daily collaboration, reviews and pairing.

YOUR PROFILE





- Engineering background:

You bring 5+ years of experience as a Data Engineer, including production support, and know your way around Snowflake, dbt, PySpark and Airflow.

- Operations mindset:

You are comfortable with incident management, root-cause analysis and SLA-driven support, and you debug DAG failures, retries and backfills with confidence.

- Stakeholder management:

You manage expectations during incidents with timely updates and honest timelines, and you build trusted relationships with data, engineering and business teams.

- Communication:

You explain technical issues and their business impact clearly to technical and non-technical audiences, and you write clear tickets and documentation.

- Nice to have:

Experience with PagerDuty for alerting, on-call scheduling and escalation.

- Language skills:

Strong verbal and written English.

📌 Senior Data Engineer – Production Support (Snowflake, dbt, Airflow) (Bengaluru)
🏢 adesso India
📍 Bengaluru