Data Scientist

Job Description

• 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.