
Principal Big Data Specialist
1 week ago
Job Summary:
- Develop, implement, and maintain data pipelines to achieve high reliability and efficiency.
- Collaborate with the engineering team to design and develop proof-of-concept solutions for data infrastructure.
- Work closely with product teams to create new data products that meet business needs.
- Ensure accurate documentation of the Data Warehouse and other data systems.
- Design, develop, test, and maintain code related to data engineering.
- Provide thought leadership and expertise on various projects.
- Guide junior data engineers in best practices and ensure they meet their deliverables.
Required Skills and Qualifications:
- Master's degree in Computer Science or equivalent work experience.
- Strong knowledge of SQL and relational databases; familiarity with non-relational databases is beneficial.
- Deep understanding and prior experience with Spark and PySpark.
- Understanding of data warehouse table design, star schemas, and similar concepts.
- Previous experience in architecting and building data pipelines from various sources.
- Strong problem-solving skills, adaptability, proactivity, and willingness to take ownership.
- Commitment to quality, architecture, and documentation.
- Experience with AWS cloud services (S3, Athena, EMR, Kinesis).
- Experience with data pipeline technologies (Airflow, Luigi) is a plus.
- Experience with Kafka streaming is beneficial.
- Familiarity with business intelligence tools (Tableau, Qlik) is a plus.
- Experience with Databricks/DBT is advantageous.
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