
Need Sr. Hadoop Developer with Spark, Python & Health Insurance experience:: Jacksonville, FL (Hybrid)
Quick overview
Job description
Job Title: Sr. Hadoop Developer
Location: Jacksonville, FL (Hybrid/Onsite)
Experience: 10+ years preferred
Job Description:
We are seeking an experienced Senior Hadoop Developer with strong expertise in Hadoop, Spark, Python, SQL, and Stored Procedures. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data processing solutions, building ETL/ELT pipelines, and managing complex data integration workflows. Experience with Snowflake is a plus.
Roles & Responsibilities:
- Design, develop, and maintain scalable data processing solutions using Hadoop and Apache Spark.
- Develop and enhance ETL workflows for data integration and transformation.
- Write efficient Python scripts for data processing, automation, and application integration.
- Develop, optimize, and maintain complex SQL queries, Stored Procedures, and database operations.
- Build and support large-scale data pipelines for batch processing and data transformation.
- Perform data validation, reconciliation, troubleshooting, and performance tuning.
- Optimize Spark jobs and Hadoop workloads to improve processing efficiency and scalability.
- Collaborate with data engineers, architects, business analysts, and other technical teams to deliver data solutions.
- Ensure data quality, consistency, reliability, and adherence to established development standards.
- Preferred: Work with Snowflake for cloud data warehousing, data loading, and query optimization.
Required Skills:
- Proficiency in Hadoop ecosystem and distributed data processing.
- Strong experience with Apache Spark.
- Programming expertise in Python.
- Advanced SQL and Stored Procedures development and optimization.
- Experience developing and maintaining ETL/ELT data pipelines.
- Strong analytical, debugging, and performance-tuning skills.
Preferred Skills:
- Hands-on experience with Snowflake.
- Experience with cloud-based data platforms and data warehousing.
- Knowledge of data migration, data quality, and large-scale data integration.
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