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Hadoop Data Engineer
Job in
Tuscaloosa, Tuscaloosa County, Alabama, 35485, USA
Listed on 2026-08-03
Listing for:
Socket.dev
Full Time
position Listed on 2026-08-03
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
responsible for designing, developing, and maintaining large-scale data processing systems within a distributed Hadoop ecosystem. The role focuses on enabling data-driven decision-making across banking operations, risk management, compliance, and customer analytics.
** Key Responsibilities
**
- Design, develop, and maintain scalable data pipelines using Hadoop ecosystem tools (HDFS, Hive, Spark, Sqoop, Kafka)
- Build and optimize ETL/ELT processes to support data ingestion from multiple banking systems
- Develop and manage big data solutions for structured and unstructured data
- Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions
- Ensure data quality, integrity, and governance aligned with banking and regulatory standards
- Perform performance tuning and optimization of Hadoop/Spark jobs
- Implement data security controls to comply with financial regulations (e.g., PCI, SOX)
- Support real-time and batch data processing frameworks
- Troubleshoot production issues and provide continuous support for data platforms
- Work with cloud platforms (e.g., AWS, Azure) for modern data solutions
Required Skills & Qualifications
** Technical Skills
**
- Strong experience with:
- Hadoop ecosystem (HDFS, Map Reduce, Hive, HBase)
- Apache Spark (Scala/Python)
- SQL & No
SQL databases - ETL tools (Informatica, Talend, or similar)
- Kafka or other streaming tools
- Proficiency in programming:
- Python / Java / Scala
- Experience with:
- Data warehousing concepts
- Workflow orchestration tools (Airflow, Oozie)
- Unix/Linux environments
- Knowledge of cloud data platforms (AWS EMR, Azure Data Lake) is a plus
** Domain Knowledge****
- Understanding of banking and financial services data
- Exposure to risk, compliance, or fraud analytics is preferred
** Soft Skills****
- Strong problem-solving and analytical abilities
- Excellent communication and collaboration skills
- Ability to work in Agile/Scrum environments
** Education & Experience****
- Bachelor's or Master's degree in:
- Computer Science, Information Technology, or related field
- Typically 5-10 years of experience in data engineering or big data development
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