Data Engineer

This Data Engineer role involves developing and maintaining robust data architectures, collaborating with teams on data requirements, and implementing ETL processes. The position focuses on optimizing data storage, ensuring data quality, and troubleshooting pipeline issues. Strong analytical and problem-solving skills are essential.

Requirements

• Develop and maintain robust data architectures.
• Collaborate with cross-functional teams on data requirements.
• Implement ETL processes.
• Optimize data storage and access strategies.
• Monitor and troubleshoot data pipeline performance.
• Create comprehensive documentation.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or related roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
• Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
• Strong analytical skills and attention to detail.