Lubin Talent Solutions.com
Data Engineer
Lubin Talent Solutions.com, New York, New York, us, 10261
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.
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.