Design, develop, and maintain scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. Build robust ETL processes, manage databases, and optimize cloud-based data platforms to integrate data from multiple sources.
Requirements
- Minimum of three years data analytics, programming, database administration, or data management experience.
- Undergraduate degree or equivalent combination of training and experience.
- Strong proficiency in SQL, Python, or Scala for data manipulation, automation and pipeline development.
- Experience working with big data processing frameworks such as Apache Spark, Hadoop, or Kafka.
- Hands-on experience with cloud-based data platforms such as AWS (Redshift, Glue), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory).
- Ability to develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies.
- Ability to maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
- Ability to thoroughly test code to ensure accuracy and alignment with its intended purpose.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
