Pyspark Developer
Tampa, Florida, United States of America
Contract
3 days ago
Key skills
PythonSQLETLELTData WarehousingSnowflakeBigQuerySparkApache SparkHadoopVaultPostgreSQLOracleMentoringCommunication
About this 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