Data Scientist

• Design and maintain scalable ETL/ELT data pipelines.
• Build and manage data lakes and data warehouses.
• Work with Spark, Kafka, Hadoop, and Apache Iceberg.
• Manage cloud data infrastructure using AWS S3, Redshift, Glue, EC2, and EKS.
• Develop data workflows using Apache Airflow.
• Perform data validation, cleansing, monitoring, and performance optimization.
• Collaborate with BI, Data Science, and Data Analyst teams.
• Maintain data documentation, security, and governance standards.

Requirements

• Strong proficiency in Python and SQL.
• Experience in Data Engineering and ETL/ELT.
• Hands-on experience with Spark, Kafka, Hadoop, and Data Lakehouse.
• Strong knowledge of AWS (S3, Redshift, Glue, EC2, EKS).
• Experience with Apache Airflow.
• Knowledge of Data Warehousing and Dimensional Modeling.
• Familiar with Git and CI/CD (GitHub/GitLab, Jenkins).
• Understanding of Data Governance and Data Privacy (GDPR/UU PDP).
• Strong analytical and problem-solving skills.
• Able to work collaboratively with cross-functional teams.