Senior Data Engineer Role
We are seeking a seasoned Senior Data Engineer to drive data engineering excellence and contribute to the success of our organization.
* Design, build, and optimize scalable data pipelines and infrastructure using expertise in data engineering.
The ideal candidate will possess a strong background in data engineering, with proficiency in designing, building, and optimizing large-scale data systems. The successful candidate will work closely with data scientists, analysts, and engineers to ensure that high-quality, reliable, and accessible data fuels decision-making and product development.
* Mastery of SQL, Python, and distributed data processing (Spark, dbt, Airflow) is essential for this role.
* Familiarity with data modeling, warehousing (Snowflake, BigQuery, Redshift), and ETL frameworks is crucial for effective data management.
* Hands-on experience with Azure cloud platform and knowledge of data architecture, pipelines, and API integration are highly valued.
Key Requirements:
* 5+ years of experience in data engineering or software engineering roles.
* Strong experience creating new or developing existing SSAS Tabular Models.
* Expertise in data governance and compliance (GDPR, HIPAA).
Desirable Skills:
* Experience with streaming data (Kafka, Flink).
* Familiarity with DevOps tools and infrastructure as code (Terraform, Docker).