Cloud Engineer Position

4 days ago


Charlotte, North Carolina, United States Synechron Full time
About the Job
Synechron is seeking a highly skilled Data Engineer to join our team. The ideal candidate will have a strong technical background, excellent communication skills, and experience working with cloud-based data solutions, Apache tools, and programming languages such as Java, Python, or C#. As a Data Engineer, you will be responsible for developing and maintaining robust data pipelines and ETL processes, designing and managing cloud-based data solutions, and ensuring data security. If you are a motivated individual with a passion for data engineering and a commitment to excellence, we encourage you to apply.

Job 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 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
- Bachelor's degree in Computer Science, Data Engineering, or a related field.
- At least 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 attention to detail.
- Strong communication skills to convey technical concepts effectively to non-technical stakeholders.

About Us
Synechron is a multinational organization with a flat and approachable structure, allowing employees to grow professionally and personally. We foster a diverse and inclusive culture that encourages collaboration, innovation, and creativity. Join us and discover a world of opportunities.

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