
Data Engineer
4 weeks ago
Summary :
Join our team as a Data Engineer to design and build scalable data pipelines, ensuring data integrity and accessibility for banking operations and analytics. This role is crucial for supporting data-driven decision-making within the financial sector.
Key Responsibilities :
- Design, build, and maintain robust ETL processes for data extraction, transformation, and loading.
- Work with large datasets and cloud-based solutions to ensure data availability and reliability.
- Collaborate with data scientists and business analysts to understand data requirements and provide data solutions.
- Ensure compliance with data security standards and regulatory requirements.
- Optimize data pipelines for performance, scalability, and cost-efficiency.
- Troubleshoot and resolve data-related issues, ensuring data quality and integrity.
Qualifications / Requirements :
- Minimum of 5 years of experience in data engineering.
- Strong proficiency in SQL and experience with relational databases.
- Proficiency in Python or Scala for data processing and pipeline development.
- Experience with big data tools and technologies.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Preferred Skills / Attributes :
- Experience with data warehousing and data modeling.
- Familiarity with data governance and data quality tools.
- Experience with data streaming technologies (e.g., Kafka, Spark Streaming).
- Excellent communication and collaboration skills.
- Experience with financial data and banking operations.
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