A technology services client of ours is looking for Data Engineer skills their ongoing projects.
Below are the additional details of this role:
Required Skills:
- Proficiency in Python: Strong experience in Python programming, particularly in developing ETL processes and data manipulation.
- Experience with Azure Cloud: Hands-on knowledge of Microsoft Azure services, including Azure Data Factory, Azure Databricks, Azure Storage, and Azure Virtual Machines.
- ETL Development: Ability to design and implement efficient ETL workflows to extract, transform, and load data from various sources.
- Data Governance and Compliance: Understanding of data governance principles, data quality management, and experience ensuring compliance with financial regulations (e.g., GDPR, CCPA).
- Data Pipeline Design: Experience in architecting scalable and flexible data pipelines, with a focus on performance optimization.
- Data Quality Assurance: Skills in implementing data quality checks and monitoring to maintain data integrity throughout the pipeline.
- Financial Services Experience: Previous experience working in the banking or financial services industry, understanding specific data handling and compliance challenges.
- Agile Methodologies: Ability to work effectively in a cross-functional Agile team, adapting to fast-paced project requirements.
- Communication Skills: Strong collaboration skills to work with stakeholders and teams, translating business requirements into technical solutions.
This role can be W2 and open for USC/GC resources.