Key Responsibilities

Develop and maintain ETL pipelines for data ingestion, transformation, and storage. Design and optimize data models for analytics and reporting. Ensure data quality, integrity, and security across all systems. Collaborate with data scientists, analysts, and software engineers to deliver reliable data solutions. Monitor and improve data workflows for performance and scalability. 

Required Skills

Proficiency in SQL and experience with relational and NoSQL databases. Hands-on experience with data pipeline tools (e.g., Apache Spark, Airflow). Strong programming skills in Python or Java. Familiarity with cloud platforms (AWS, Azure, or GCP). Knowledge of data warehousing and big data technologies.