Data Science Leadership Opportunity

Descrição do trabalho

Data Engineering Challenges

As a Senior Data Engineer/Architect, you will be responsible for developing scalable, high-performance data pipelines using distributed computing and cloud technologies. You will also automate ETL/ELT processes for efficient data processing, ensure seamless integration of diverse data sources, and implement data quality checks, cleansing, and validation to ensure accuracy.

You will leverage AWS services, Snowflake, BigQuery, or Firebolt for optimal data storage and processing, and utilize big data tools such as Hadoop, Kafka, Spark, and ML frameworks like TensorFlow for advanced analytics.

This role requires a strong understanding of data governance, security policies, and compliance with regulatory standards, as well as the ability to optimize infrastructure to minimize costs while maintaining performance.