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Senior Data Warehousing Specialist
3 weeks ago
About the Role:
This Senior Data Warehousing Specialist will be responsible for designing and implementing cutting-edge data architectures that drive business growth. The successful candidate will have expertise in real-time streaming, distributed computing, and scalable data warehousing, as well as strong experience with AWS Redshift, Snowflake, or Google BigQuery.
Responsibilities:
- Design and implement high-performance data warehouses
- Develop long-term data management strategies
- Lead evaluations and recommend best-fit technologies for real-time and batch processing
- Optimize ETL/ELT workflows, data pipelines, and distributed storage
- Architect and maintain Kafka-based streaming platforms
- Ensure compliance with data security and regulatory standards
- Leverage distributed computing technologies to process and analyze large datasets efficiently
- Present architectural strategies and progress to senior leadership and stakeholders
- Translate complex technical concepts into understandable terms for non-technical stakeholders
Requirements:
- 8+ years of experience in data architecture, warehousing, and engineering
- 3-5 years of experience working with Apache Kafka and real-time streaming
- Strong experience with AWS Redshift, Snowflake, or Google BigQuery
- Expertise in SQL performance tuning and database optimization
- Hands-on experience with Hadoop, Spark, Hive, and Presto
- Proficiency in Python, Java, or Scala for data processing
- Deep knowledge of data governance, security, and compliance
- Experience designing high-throughput, low-latency data architectures