
Only 24h Left Data Engineer
3 weeks ago
Location: Remote
Experience: 7+ Years | Banking sector experience preferred
Type: Contract
About the Opportunity
We're looking for highly skilled Senior Data Engineers to join a mission-critical banking project. This is your chance to work on cutting-edge data pipelines, streaming platforms, and cloud-based infrastructures—building scalable, high-performance solutions for a leading financial services environment.
What You'll Work On
- Designing & implementing ETL pipelines for large-scale data ingestion & transformation.
- Building real-time streaming solutions using Apache Kafka (mandatory).
- Leveraging Apache Spark, Scala, and Streaming frameworks for distributed data processing.
- Managing workloads in Kubernetes and deploying solutions on AWS (mandatory).
- Writing clean, optimized code in Python, .NET C#, and SQL.
- Enabling BI reporting using Power BI or equivalent tools.
- Integrating diverse data sources, including Salesforce (advantageous).
- Exploring Big Data, ML/AI, and Data Lake solutions for advanced analytics.
What We're Looking For
- 7+ years in Data Engineering or related roles.
- Strong banking/financial services background.
- Apache Kafka, AWS, Kubernetes – MUST HAVE.
- Proficiency in ETL, Apache Spark, Scala, Python, SQL, and .NET C#.
- Experience with Power BI (or similar).
- Exposure to Big Data, ML/AI, and Data Lakes (bonus).
Soft Skills That Make You Stand Out
- Strong problem-solving skills and analytical mindset.
- Excellent communication & collaboration abilities.
- Self-driven with the ability to thrive in fast-paced environments.
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