Job Description

ETL Developer will be responsible for designing, implementing, and optimizing distributed data processing jobs to handle large-scale data in Hadoop Distributed File System(HDFS) using Apache Spark and Python. This role required deep understanding of data engineering principles, proficiency in Python and hands-on experience with Spark and Hadoop ecosystems. Developer will collaborate with data engineers, analysts, and business stakeholders to process, transform and drive insights and data driven decisions.
Responsibilities:
Data Processing and Transformation:
Design and Implement of Spark applications to process and transform large datasets in HDFS.
Develop ETL Pipelines in Spark using Python for data Ingestion, cleaning, aggregation, and transformations.
Performance Optimization:
Optimize Spark jobs for efficiency, reducing run time and resource usage.
Finetune memory management, caching, and partitioning strategies for Optimal performance
Data Engineering with Hadoop and Spark:
Load data from different sources into HDFS, ensuring data accuracy and integrity.
Integrate Spark Applications with Hadoop frameworks like Hive, Sqoop etc.
Testing and debugging:
Troubleshoot and debug Spark Job failures, monitor job logs, and Spark UI to Identify Issues.
Qualifications:

• 2-5 years of relevant experience
• Experience in programming/debugging used in business applications
• Working knowledge of industry practice and standards
• Comprehensive knowledge of specific business area for application development
• Working knowledge of program languages
• Consistently demonstrates clear and concise written and verbal communication

Expertise in handling complex large-scale Warehouse environments

• Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities

Education:

• Bachelor's degree in a quantitative field (such as Engineering, Computer Science) or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group: Technology
Job Family: Applications Development
Time Type: Full time
Most Relevant Skills Please see the requirements listed above.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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Skills Required