PREFERRED QUALIFICATIONS

· Experience with Airflow, dbt, or similar orchestration frameworks.
· Exposure to DevOps & CI/CD in data environments.
· Familiarity with ML pipelines and feature stores.
Job Types: Full-time, Contract
Application Deadline: 11/09/202

ROLE OVERVIEW

We are seeking an exceptional Data Engineer to design, develop, and scale data pipelines, warehouses, and streaming systems that power mission-critical analytics and AI workloads. This is a hands-on engineering role where you will work with cutting-edge technologies, tackle complex data challenges, and shape the organization’s data architecture.

CORE RESPONSIBILITIES

· Design & own robust ETL/ELT pipelines using Python and Apache Spark for batch and near real-time processing.
· Architect and optimize enterprise data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) for performance and scalability.
· Build data models and implement governance frameworks ensuring data quality, lineage, and compliance.
· Engineer streaming data solutions using Kafka and Kinesis for real-time insights.
· Collaborate cross-functionally to translate business needs into high-quality datasets and APIs.
· Proactively monitor, tune, and troubleshoot pipelines for maximum reliability and cost efficiency.