Sr Data Engineer - financial services

We are

seeking Sr Data Engineer financial services to join our Charlotte NC (onsite 3 days a week is a must in Hybris) longterm contract.

Only local to Charlotte NC who can come inperson interview only

Key Responsibilities:

• 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 cloudbased 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 highquality code in programming languages such as Java Python or C#.
• Implement realtime data streaming and eventdriven 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 crossfunctional 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 problemsolving skills while paying attention to detail.

Required Qualifications:

• Bachelors 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 cloudbased 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 realtime data streaming and eventdriven 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 problemsolving skills with a keen attention to detail.
• Strong communication skills to convey technical concepts effectively to nontechnical 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.

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