QUALIFICATIONS

• Bachelor’s degree or above in Computer Science, Statistics, Math, or a related field.
• Strong SQL skills; experience with data lake/warehouse design and query optimization.
• Proficient in Python, Java, or Scala for data development tasks.
• Hands-on experience with big data tools such as Spark, Hive, Kafka, and ClickHouse.
• Experience with BI tools (e.g., Tableau, Power BI) and data visualization.
• Understanding of data privacy regulations (e.g., GDPR, CCPA); experience with data security practices is a plus.Strong communication skills and a collaborative, proactive attitude.
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  Regrettably, only shortlisted candidates will be notified.
  Please note that data provided is for recruitment purposes only.

• Design and develop data pipelines to support analytics for IoT and mobile products.
• Partner with cross-functional teams to deliver data modeling, extraction, and reporting solutions.
• Participate in the design and construction of data warehouses and big data platforms to optimize data workflows and system performance.
• Implement data governance best practices, including access control, data masking, and audit logging.