4Bell Technology

• At least 2 years of relevant data engineering experience, including hands-on work with cloud data platforms and production data environments.

• Strong hands-on working experience with Snowflake development and administration.

• Proficiency in writing and optimizing complex SQL queries and Snowflake stored procedures.

• Hands-on proficiency with AWS Glue for ETL development, workflow orchestration, job monitoring, and troubleshooting.

• Experience developing database and application support scripts.

• Experience working with Amazon Aurora PostgreSQL, including SQL development, integration support, operational troubleshooting, and performance analysis.

• Experience working with Amazon S3 for storage, ingestion, staging, and integration with cloud-native data pipelines.

• Experience with AWS DMS for database migration, change data capture, replication monitoring, and troubleshooting.

• Hands-on experience with Liquibase for database deployment and schema version management.

• Strong troubleshooting, analytical, and problem-solving skills.

• Experience supporting production data warehouse or data platform environments.

• Ability to develop maintainable, reusable, and well-documented code.

• Experience with source control systems such as GitHub.

• Excellent verbal and written communication skills.

• Strong attention to detail and commitment to operational excellence.

Preferred Qualifications (Plus)

• Experience with cloud platforms such as AWS.

• Experience building cloud-native data pipelines using AWS Glue, Amazon Aurora PostgreSQL, Amazon S3, AWS DMS, Snowflake, and related AWS data services.

• Experience with Snowflake performance tuning and cost optimization.

• Experience implementing metadata-driven frameworks and data validation solutions.

• Proficiency with Python, Shell Scripting.

• Familiarity with CI/CD pipelines and DevOps practices.

• Knowledge of data warehousing concepts, dimensional modeling, and enterprise reporting platforms.

• Experience with monitoring, observability, and operational support frameworks.