Sr Data Engineer

Scope of the Role:

• Direct Reports: This is an individual contributor role.

Implements enhancements for projects assigned to Common Data Engineering

• 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:

• Bachelors 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.

Additional Requirements:

• Familiar with Agile software design processes and methodologies.
• 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.
• 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.