Sr. Data Engineer – Neo4j / TigerGraph
If you are a self-confident, self-motivated person with a strong work ethic and excellent communication skills, and you enjoy a fast-paced, team-driven environment, contact us today!
Working with one of the top financial clients, this role calls for a Sr. Data Engineer – Neo4j / TigerGraph who will support Fraud data migration and Business Intelligence projects by designing and building data management and analytics solutions, ensuring high quality and trusted data is available and accessible to Fraud Performance Management team to make informed business decisions on our registrants, including developing reporting and analytics systems and self-serve reports.
Responsibilities:
- Work together with other data engineers, data analysts, business analysts, business SME’s, records analysts, and privacy analysts to understand the needs for data and create effective, secure data workflows.
- Responsible for designing, building, and maintaining secure and compliant data processing pipelines using various Microsoft Azure data services and frameworks, including but not limited to Azure Databricks, Data Factory, ADLS Storage, and PySpark.
- Build databases, data marts or data warehouses and perform data migration work.
- Build reporting and analytical tools to utilize the data pipeline, provide actionable insight into key business performance metrics.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Microsoft Azure Cloud.
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and/or Azure Blob Storage.
- Utilize Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
- Implement data validation and cleansing procedures to ensure the quality, integrity, and dependability of the data.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitor and resolve data pipeline problems to ensure the consistency and availability of the data.
- Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Adapt and learn new technologies per business requirements.
- Ensure compliance with data governance, privacy and security policies.
- Fosters and maintains an organizational culture that promotes equity, diversity and inclusion, mutual respect, teamwork, and service excellence.
Desired Skill Set:
- 8 years of proven experience in Architectures and datasets using Microsoft Azure technologies, including Spark.
- 8 years of experience with data migration projects within Microsoft and Azure
- Strong analytical skills related to working with unstructured datasets
- A successful history of manipulating, processing, and extracting value from large, disconnected data
Nice To Have:
- Experience working with Graph databases, e.g. Neo4j, TigerGraph, etc.
- Previous banking experience
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