Data Engineer

• Design and implement robust data pipelines that can handle diverse data sources and large volumes efficiently, ensuring data accuracy and availability. • Develop and maintain data warehouses and data lakes, optimizing them for analytical queries and reporting needs. • Collaborate with data scientists and analysts to understand their data requirements, translating them into scalable data solutions. • Monitor and troubleshoot data pipeline performance, proactively identifying bottlenecks and implementing improvements. • Bachelor's degree in Computer Science, Engineering, or a related field; a Master's degree is a plus. • 3-5 years of hands-on experience in data engineering or a related role, demonstrating a solid track record of successful projects. • Proficiency in programming languages such as Python, Java, or Scala, with a focus on data manipulation and processing libraries. • Familiarity with SQL and NoSQL databases, including experience with database design and optimization techniques.