Sr Data Engineer

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a highly skilled and motivated individual with a strong technical background to join our team. An experienced Data Engineer with strong communication skills to convey technical concepts effectively to non-technical stakeholders.

Additional Information* 

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $115k - $125k/year & benefits (see below).

The Role

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.

Requirements:

You are:

• 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.

It would be great if you also had:

• 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 meth