Big Data Hadoop ETL Developer

This role focuses on developing and maintaining robust data pipelines and ETL processes to support business intelligence and data analytics initiatives. The ideal candidate will possess a strong understanding of big data technologies and be adept at transforming raw data into valuable insights.

Key Responsibilities:

Design, develop, and maintain ETL processes using Hadoop and related technologies.
Build and optimize data pipelines for efficient data ingestion, transformation, and loading.
Ensure data quality and accuracy through rigorous testing and validation.
Collaborate with data scientists and business analysts to understand data requirements.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

Experience with Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, Spark).
Proficiency in ETL tools and techniques.
Strong SQL skills and experience with relational databases.
Experience with data warehousing concepts.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.

About the Company: This company provides innovative solutions within the technology sector, helping businesses leverage data to improve their operations and achieve their goals. They focus on delivering cutting-edge services and products to a diverse range of clients.