Hadoop Data Engineer
TLDR
Design and optimize large-scale Hadoop data pipelines to enable data-driven decision-making across banking operations and compliance.
Hadoop Data Engineer 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, MapReduce, Hive, HBase)
- Apache Spark (Scala/Python)
- SQL & NoSQL 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
Qode is a technology-driven platform that transforms how recruiters and candidates connect by leveraging data and automation. Our solutions streamline the hiring process through machine learning, creating private talent pools and automating workflows, ultimately enhancing the quality of candidate evaluation and decision-making. With our no-code tools, we empower organizations to develop tailored recruitment strategies without needing extensive technical skills.
- Founded
- Founded 2023
- Employees
- 51-200 employees
- Industry
- consumer services