Advanced Data Solutions Architect
2 weeks ago
Hiring now, we are seeking highly skilled data engineers to join a critical project. This is an excellent opportunity to work on cutting-edge data pipelines and build scalable solutions for a leading financial services environment.
As a senior data engineer, you will design and implement ETL pipelines for large-scale data ingestion and transformation. You will also build real-time streaming solutions using Apache Kafka, leveraging Apache Spark, Scala, and Streaming frameworks for distributed data processing.
In addition, you will manage workloads in Kubernetes and deploy solutions on AWS. Your expertise in clean, optimized code in Python, .NET C#, and SQL will enable BI reporting using Power BI or equivalent tools. You will integrate diverse data sources, including Salesforce, and explore Big Data, ML/AI, and Data Lake solutions for advanced analytics.
The ideal candidate will have 7+ years of experience in data engineering or related roles, with a strong banking/financial services background. You must have proficiency in ETL, Apache Spark, Scala, Python, SQL, and .NET C#. Experience with Power BI (or similar) is also required. Exposure to Big Data, ML/AI, and Data Lakes is a plus.
- Proficiency in data engineering
- Strong analytical skills
- Excellent communication and collaboration abilities
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