Sr. Hadoop, Hive, Spark, Java, Python, SQL Developer
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Job 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.
Requirements
- 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.
About the company
InterSources Inc. is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18+ years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company
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