What will you do:

• Design and implement scalable data pipelines to integrate and process data from multiple sources.
• Build and maintain efficient database systems to support analytics and reporting.
• Collaborate with data scientists and analysts to ensure data availability and quality for business intelligence initiatives.
• Monitor and troubleshoot data processing systems to ensure optimal performance and reliability.
• Develop and enforce data governance policies to maintain data integrity and security.
• Automate data workflows and streamline ETL processes to improve efficiency.
• Stay up-to-date with industry trends and emerging technologies related to data engineering.

What makes you a great fit:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role within data management.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is a plus.
• Experience with cloud-based solutions (e.g., AWS, Azure, Google Cloud) for data storage and processing.
• Strong programming skills in languages such as Python, Java, or Scala.
• Ability to work collaboratively in a fast-paced environment and communicate effectively with both technical and non-technical stakeholders.

About us:

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