Data Engineer

• Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.

• Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.

• Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.

• Optimize data storage and access strategies for improved performance and efficiency.

• Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.

• Create comprehensive documentation for data workflows and system architecture.

Requirements

• 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.