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# Pyspark Developer

- **Company:** TSR, Inc
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Third Normal Form, BigQuery, Databases, Directed Acyclic Graph (Directed Graphs), Data Architecture, Extract Transform Load (ETL), Data Structures, Data Systems, Data Vault Modeling, Data Warehousing, Relational Databases, Software Design Patterns, Distributed Systems, Memory Management, Apache Hadoop, Apache Hive, Python (Programming Language), PostgreSQL, Oracle (Applications), SQL Databases, Snowflake, Apache Spark, Pyspark, Optimization Algorithms, Star Schema, Data Pipelines
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/458f9774-3746-4511-95ee-39be01440c83

## About the Role

* PySpark Mastery: Production-level expertise in Apache Spark using Python (PySpark)
 * Must understand Spark internals (DAGs, shuffling, memory management, and optimization techniques)
 * Data Modeling: Proven track record of building complex data models from scratch (Star/Snowflake schemas, Data Vault, or 3NF)
 * Database & SQL: Expert-level proficiency in SQL
 * Extensive hands-on experience with massive relational databases (e.g., Oracle, PostgreSQL) and modern data warehouses/lakes (e.g., Snowflake, BigQuery, or Hive/Hadoop)
 * Systems Design: Clear understanding of distributed systems processing, ETL/ELT design patterns, and enterprise data warehousing principles
 * Communication: Demonstrated ability to translate complex technical concepts into clear, concise language for non-technical stakeholders and business leaders
 * We are seeking a highly experienced PySpark Developer to lead the design, architecture, and development of mission-critical data pipelines and enterprise data models
 * As a senior technical leader, you will bridge the gap between complex business requirements and highly scalable data architecture
 * The ideal candidate possesses deep expertise in PySpark, advanced SQL optimization, and enterprise data modeling
 * You will not only be a hands-on technical contributor but also serve as an architectural guide, mentoring junior developers, establishing best practices, and ensuring that data solutions are highly performant, resilient, and aligned with Client
 * Lead the transition from legacy data structures to modern, scalable cloud/hybrid



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