Responsibilities:

• 3+ years of experience in Data Engineering, Big Data, or Cloud Data Solutions
• Experience with Airflow or similar workflow orchestration tools.
• Knowledge of Terraform, CloudFormation, or other IaC tools.
• Familiarity with machine learning pipelines and MLOps is a plus.
• Experience with Apache Kafka for real-time data streaming and event-driven architectures.
• Strong hands-on experience with AWS services such as AWS Glue, S3, Lambda, and Redshift.
• Expertise in SQL and working with relational and NoSQL databases.
• Proficiency in PySpark and Python for data processing and analytics.
• Experience with Apache Kafka for real-time data streaming and event-driven architectures.
• Hands-on experience with Snowflake, including data modeling, query optimization, and performance tuning.
• Understanding of CI/CD pipelines, Infrastructure-as-Code (IaC), and DevOps in cloud environments.
• Strong problem-solving and communication skills.
• Design and implement data models and warehouse solutions in Snowflake for optimized analytics and reporting.
• Integrate streaming and batch data sources using Kafka and other messaging technologies.
• Work with cross-functional teams to ingest, clean, transform, and store structured and unstructured data.
• Optimize performance, scalability, and reliability of data workflows on AWS cloud infrastructure.
• Implement best practices for data security, governance, and compliance.
• Monitor, debug, and improve data pipelines to ensure high availability and consistency.