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# Sr. Hadoop, Hive, Spark, Java, Python, SQL Developer

- **Company:** Intersources Inc.
- **Location:** Alpharetta, GA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, Code Review, Computer Programming, Extract Transform Load (ETL), Data Mining, Database Queries, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache Hive, Python (Programming Language), Object-Oriented Software Development, Scrum Methodology, Software Engineering, Software Systems, SQL Databases, Data Processing, Scripting, Freeform SQL, Apache Spark, Information Technology, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/29581957#/jobs/29581957

## About the Role

* Overall IT Experience: 12+ years of experience in Information Technology.
 * Big Data Technologies: 6-8 years of extensive experience with Hadoop ecosystem components, including HDFS, MapReduce, Hive, and Spark.
 * Programming Languages: 6-8 years of proficiency in Java and Python, with a strong understanding of object-oriented programming principles.
 * SQL: 6-8 years of strong SQL skills for data manipulation, querying, and analysis.
 * Financial Industry Experience: Prior experience working in the financial services or investment banking domain is essential.
 * Communication Skills: Excellent written and verbal communication skills in English.

Certifications:
Relevant certifications in Hadoop, Spark, Java, or other related technologies are a plus.

## Description

We are seeking a highly skilled and experienced Sr. Hadoop, Hive, Spark, Java, Python, and SQL Developer with 12+ years of overall IT experience, including 6-8 years specifically in the required skills, to join our team supporting a major client in the Investment Banking industry. This role will be instrumental in designing, developing, and maintaining robust and scalable data solutions within a complex financial environment. The ideal candidate will possess a strong background in big data technologies, programming, and a proven track record of delivering high-quality software solutions., * Design, develop, and implement efficient and scalable big data solutions using Hadoop, Spark (including HDFS, MapReduce, Hive, and Spark), Java, Python, and SQL.

 * Develop and maintain data pipelines for ingestion, processing, and analysis of large datasets.
 * Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL) processes.
 * Utilize Java and Python for scripting, data processing, and application development within the Hadoop/Spark ecosystem.
 * Collaborate with business analysts and stakeholders to understand requirements and translate them into technical solutions.
 * Participate in code reviews and ensure adherence to coding best practices and standards.
 * Troubleshoot and resolve performance bottlenecks and other technical issues.
 * Contribute to the continuous improvement of our data platform and development processes.
 * Work in an Agile environment and participate in sprint planning, daily stand-ups, and retrospectives.
 * Maintain up-to-date knowledge of industry trends and emerging technologies in the big data space.
 * Demonstrate strong communication skills to effectively collaborate with team members and stakeholders.


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