Data Engineer
3B Staffing LLC
Seeking Sr Data Engineer - financial services to join our Charlotte, NC (onsite 3 days a
week is a must in Hybris) long-term contract.
Only local to Charlotte, NC who can come in-person interview only
• Develop and maintain robust data pipelines and ETL processes to facilitate seamless
data integration across various platforms.
• Utilize Microsoft SQL Server and SSIS stack for data management and transformation
tasks.
• Design and manage cloud-based data solutions on Azure or Google Cloud to ensure
scalable and efficient data storage and processing.
• Leverage Apache tools, including Airflow, Spark, and Hadoop, for orchestrating data
workflows and processing large datasets.
• Write and maintain high-quality code in programming languages such as Java, Python,
or C#.
• Implement real-time data streaming and event-driven architectures using technologies
like Apache Kafka or Azure Service Bus.
• Mentor and guide a team of data engineers, fostering a culture of collaboration and
continuous improvement.
• Ensure adherence to data governance and data quality best practices to maintain data
integrity and reliability.
• Analyze and optimize current database architecture to enhance performance and
scalability.
• Tune SQL queries and ETL processes to improve data performance and efficiency.
• Collaborate with cross-functional teams to understand data requirements, design
scalable data solutions, and ensure data security.
• Implement DevOps practices and tools for CI/CD in data engineering to streamline
development and deployment processes.
• Demonstrate strong analytical and problem-solving skills while paying attention to
detail.
Required Qualifications:
• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering, with a strong focus on developing and
maintaining data pipelines and ETL processes.
• Proficient in Microsoft SQL Server and SSIS stack for data management tasks.
• Expertise in designing and managing cloud-based data solutions on Azure or Google
Cloud.
• Experience with Apache tools, including Airflow, Spark, and Hadoop.
• Strong programming skills in Java, Python, or C#.
• Experience with real-time data streaming and event-driven architecture, such as
Apache Kafka or Azure Service Bus.
• Strong leadership skills with a demonstrated ability to mentor and guide a team of
engineers.
• Knowledge of data governance and data quality best practices.
• Proven ability to optimize current database architecture for enhanced performance and
scalability.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication skills to convey technical concepts effectively to non-technical
stakeholders.
Preferred Qualifications:
• Experience with machine learning and data analytics tools is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) for presenting data
insights.
• Knowledge of Agile methodologies and experience working in an Agile environment
Vacancy posted 3 days ago
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