Sr Data Engineer

Scope of the Role:  

• Direct Reports:  This is an individual contributor role with no direct reports 

Key Responsibilities 

• Create, enhance, and maintain optimal data pipeline architecture and implementations. 

• Analyze data sets to meet functional / non-functional business requirements. 

• Identify, design, and implement data process: automating processes, optimizing data delivery, etc. 

• Build infrastructure and tools to increase data ETL velocity. 

• Work with data and analytics experts to implement and enhance analytic product features. 

• Provide life cycle support the Operations team for existing products, services, and functionality assigned to the Data Engineering team. 

Experience, Education, and Certifications:  

• Bachelor’s degree in Computer Science, Statistics, Informatics or related field or equivalent work experience. 

• 5+ years of Software Development experience, including 3+ years of experience in Data Engineer fields. 

• Experience in building and optimizing big data pipelines, architectures, and data sets: 

• Experience with big data tools: Hadoop, Spark, Kafka, etc. 

• Experience with relational SQL databases, such as PostgreSQL, MySQL, etc. 

• Experience with stream-processing systems: Flink, KSQL, Spark-Streaming, etc. 

• Experience with programming languages, such as Java, Scala, Python, etc. 

• Experience with cloud data engineering and development, such as AWS, etc. 

Additional Requirements:  

• Familiar with Agile software design processes and methodologies. 

• Good analytic skills related to working with structured and unstructured datasets. 

• Knowledge of message queuing, stream processing and scalable big data stores. 

• Ownership/accountability for tasks/projects with on time and quality deliveries. 

• Good verbal and written communication skills. 

• Teamwork with independent design and development habits. 

• Work with a sense of urgency and positive attitude.