Role Overview

We are seeking a talented and experienced Data Engineer to join our team. The ideal
candidate will have a strong background in data engineering, with at least three years of
hands-on experience. The Data Engineer will be responsible for designing, developing, and
maintaining scalable data pipelines and systems to support our analytics and machine
learning initiatives

Job Description

• Design, develop, and maintain robust and scalable data pipelines to collect,
  process, and analyze large volumes of structured and unstructured data from
  various sources.
• Work closely with data scientists, analysts, and other stakeholders to understand
  data requirements and translate them into technical solutions.
• Optimize and tune data pipelines for performance, reliability, and scalability.
• Implement data quality checks and monitoring processes to ensure data integrity
  and reliability.
• Collaborate with cross-functional teams to integrate data engineering solutions into
  business processes and applications.
• Stay current with industry trends and best practices in data engineering and
  contribute to continuous improvement initiative

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of three years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong SQL skills and experience with relational and non-relational databases (e.g.,PostgreSQL, MongoDB, Redis).
• Experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and HDFS.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, or a related field.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Knowledge of machine learning concepts and techniques.
• Experience with data visualization tools such as Tableau or Power BI