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Job Overview

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 experienceExperience in programming/debugging used in business applicationsWorking knowledge of industry practice and standardsComprehensive knowledge of specific business area for application developmentWorking knowledge of program languagesConsistently 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.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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