
Big Data Engineering Expertise
4 days ago
Job Description:
As a seasoned Big Data Engineer, you will play a pivotal role in designing and implementing cutting-edge data pipelines that drive business growth. You will collaborate closely with cross-functional teams to understand business requirements, translate technical concepts into actionable solutions, and ensure seamless integration with existing systems.
Key Responsibilities:
- Design and develop scalable data pipelines using Hadoop, Spark, and other technologies
- Collaborate with stakeholders to understand business requirements and translate them into actionable solutions
- Troubleshoot and resolve complex issues across multi-technology landscapes
- Optimize and refine data pipelines for improved performance and efficiency
- Drive initiatives for automation and process improvement
Requirements:
- 3+ years of experience in Big Data Engineering within the banking domain
- Expert knowledge of Hadoop, Spark, and Iceberg
- Strong understanding of translating business requirements to technical solutions
- Proficiency in Python, Unix Shell scripting, and DevOps processes
- Experience with containerization and cloud platforms (Azure, Google, AWS)
Benefits:
- Opportunity to work on innovative projects that transform the way financial services are delivered
- Collaborative team environment that values creativity and continuous learning
- Competitive salary and benefits package
What We Offer:
- Professional development opportunities
- Diverse and inclusive work environment
- Flexible work arrangements
Submit your application directly by listing your relevant skills below: PySpark, Azure, Big Data, Pipelines, Hadoop, Translating, Agile, Scripting, Information Technology, Data Engineering, Python, Performance Tuning, Unix Shell Scripting, Orchestration, Stakeholder Management, Business Requirements
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