We are looking for a Senior Data Engineer to help us build and scale modern data infrastructure while also delivering insights through hands-on analytics and data storytelling. You’ll work across the full data lifecycle—from ingestion and transformation to analysis and visualization—helping us unlock value from data across cloud-native systems, real-time applications, and machine learning workflows.

 

This role blends strong engineering fundamentals with analytical intuition and is ideal for someone who wants to own data pipelines end-to-end while also delivering actionable business intelligence.

​

Responsibilities

​​

• Design, build, and maintain scalable data pipelines across batch and real-time environments (e.g., ETL/ELT, streaming, CDC)

• Lead the implementation of data lakehouse architectures and cloud-based data platforms (e.g., Snowflake, BigQuery, Databricks)

• Collaborate with analysts, product teams, and ML engineers to deliver clean, well-modeled datasets

• Drive data quality, observability, and governance across all data layers

• Create and deliver interactive dashboards and visualizations using tools like Power BI, Tableau, or Looker

• Write performant, production-ready SQL and build data marts optimized for self-service analytics

• Proactively identify data gaps, propose schema changes, and implement monitoring for data freshness and reliability

• Work cross-functionally to support AI/ML model development with clean, annotated, and reproducible datasets

• Contribute to architectural decisions and advocate for best practices in data engineering and analytics