Required Skills

• Strong experience in Data Engineering and ETL/ELT development.
• Hands-on experience with Python, SQL, and PySpark.
• Experience in designing and maintaining data pipelines.
• Strong knowledge of data warehousing and data modeling.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of Apache Spark, Kafka, and Airflow.
• Experience with Snowflake, Databricks, or Hadoop.
• Knowledge of database optimization and data integration.
• Experience with Git, CI/CD, and Agile methodologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and manage ETL/ELT processes.
• Collect, process, and transform large datasets.
• Optimize data workflows and database performance.
• Ensure data quality, security, and reliability.
• Monitor and troubleshoot data pipeline issues.
• Collaborate with data scientists, analysts, and development teams.

Education

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Master's degree is preferred.

Certifications

• AWS Certified Data Engineer – Associate.
• Google Cloud Professional Data Engineer.
• Microsoft Certified: Azure Data Engineer Associate.
• Databricks Certified Data Engineer Professional.
• Snowflake SnowPro Advanced: Data Engineer.