Develop and maintain scalable data pipelines. Collaborate with data scientists and analysts to support business needs. Work with cloud platforms like AWS, Azure, or Google Cloud. Effectively working with cross-functional teams. Data Modelling.
Develop and maintain cloud-based data pipelines using tools like Apache Airflow or AWS Glue Support ETL processes and ensure data quality and consistency Monitor and troubleshoot cloud infrastructure performance Implement data security & compliance
Develop and maintain robust ETL (Extract, Transform, Load) pipelines Ensure data quality, integrity, and security across systems Integrate data from various sources including APIs, databases, and cloud platforms Familiarity with cloud platforms Required Candidate profile Proficiency in SQL and Python Knowledge of data modeling, warehousing, and pipeline orchestration tools Strong understanding of database systems (relational and NoSQL)