Data Engineer

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

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 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