Data Engineer

We’re building a RealtimeData Platform – a platform that ingests data from multiple external sources, normalizes it into canonical models, and serves it for analytics, dashboards, and client-facing [link removed] a BI Data Engineer, you’ll design and operate data models and transformation pipelines, ensure data quality and reliability for decision-making, and collaborate with analysts and business stakeholders to deliver trusted [link removed] Data Ingestion & Transformation Design and maintain ingestion & transformation flows (dbt, SQL, Python).Build reliable pipelines from ETLs, CDC, APIs, CSVs, and event streams into analytical [link removed] deduplication and data integrity for BI reporting. Data Modeling & Warehousing Develop semantic and analytical models (fact/dimension tables, star/snowflake schemas).Optimize query performance in BI warehouse (currently Athena with Iceberg but in the future maybe ClickHouse, Redshift, BigQuery or Starrocks).Implement versioned entities and audit trails for business data. Analytics Enablement Build pre-aggregations and semantic layers (Cube, dbt metrics and models).Support dashboards and client-facing reports in [link removed] KPIs and metrics with product, risk, and operations teams. Data Quality & Observability Implement validation checks (dbt tests, Pydantic).Monitor data freshness, pipeline SLAs, and dashboard [link removed] up alerts and documentation for business users. Collaboration & Stakeholder Support Work closely with analysts, product managers, and operations to understand BI [link removed] data via APIs/semantic layers for self-service [link removed] to the design of rules for reporting policies and metric [link removed]Experience: 3+ years in BI engineering, data engineering, or analytics [link removed] Warehouses: strong SQL skills, experience with at least one warehouse (Athena, Redshift, ClickHouse, Snowflake, BigQuery).Modeling: hands-on with dimensional modeling, dbt, star/snowflake schemas, metric [link removed]: Python for transformations .Data Quality: experience with validation, deduplication, audit [link removed] & Infra: GitHub Actions or similar, Terraform/CDK basics, containerized [link removed]: detail-oriented, reliable, collaborative with business [link removed] to HaveKnowledge of semantic layers (Cube, dbt metrics).Experience with AWS and cloud [link removed] with client-facing [link removed] with Grafana or another BI visualization [link removed] with real-time analytics and [link removed]We OfferOpportunity to shape the BI architecture from the ground [link removed] realtime analytics stack (dbt, Cube, Grafana, Postgres, Iceberg).Collaborative, engineering-led environment with strong focus on [link removed] immense potential for personal growth while contributing to an innovative [link removed] remotely or in a hybrid style – whatever suits you [link removed] our luxurious Norse-myth-inspired offices in [link removed] your English with company-sponsored language [link removed] in quarterly team-building activities to bond with your team. Originally posted on Himalayas