Data Engineer (PySpark)
Tasks
- Advise and coach analysts
- Analyze complex system problems
- Build data processing applications
- Consult with clients and technology groups
- Define operating standards and processes
- Design data pipelines
- Evaluate business process and system process
- Monitor development phases
- Provide operational support
- Provide user support
- Recommend advanced programming solutions
- Recommend security measures
- Test and implement data solutions
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plans
- Sick leave
Skills/Tech-stack
Apache Zookeeper | Caching | Cassandra | Data Modeling | Data orchestration | Dimensional Modeling | HBase | HDFS | MapReduce | Memory Management | MongoDB | NumPy | Pandas | Partitioning | Performance optimization | PySpark | Python | SQL | Shuffle Optimization | Snowflake Schema | Spark GraphX | Spark SQL | Spark Streaming | Spark-core | Star Schema | Window Functions | YARN
Education
Roles
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