• 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.