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Popular mid-level data-engineer role with common skills increases competition.
Requires dbt, warehouse, and LookML reporting expertise, reducing cross-industry transferability.
Mandatory 5+ years plus dbt, warehouse, LookML, and CI/CD experience makes filters stringent.
Own the engineering controls for MyKaarma's reporting products, ensuring reliability, testability, traceability, and safe changes.
Accountable for automated testing, release safety, data quality controls, reconciliation, dependency visibility, and operational reliability across data transformation and semantic layers.
Implement and enforce standards for data models, reporting components, data contracts, and participate in incident management and on-call rotations.
Minimum 5 years relevant data-engineering or analytics-engineering experience in production (exceptional 4-year candidates may qualify).
Advanced expertise in SQL, data modeling concepts including grain, slowly changing dimensions, and reconciliation.
Production experience with dbt or equivalent transformation frameworks and cloud analytical warehouses (BigQuery preferred; Snowflake, Redshift, Synapse acceptable).
Proficiency in Python or equivalent for data tooling, plus experience with Git workflows, CI/CD, and data-quality ownership.
Experienced in managing data-quality, observability, incident response, and reliability beyond pipeline development.
Skilled at translating architectural direction into durable data products and controls within a SaaS and multi-team environment.
Familiar with semantic modeling layers (LookML/Looker) and enforcing data governance models including ownership, lineage, and controlled change workflows.