Job Description:
We are looking for a strong Python / SQL Developer with experience in Perl scripting, ETL processes, Snowflake, and AWS migration. The candidate will be responsible for modernizing existing Perl-based ETL processes by migrating them to Python and supporting the migration of data workloads to AWS.
Key Responsibilities
- Analyze and understand existing Perl scripts and ETL processes.
- Convert and migrate legacy Perl scripts to Python.
- Develop and maintain robust Python-based ETL solutions.
- Write complex SQL queries for data extraction, transformation, validation, and reconciliation.
- Support migration of existing ETL processes and data pipelines to Snowflake.
- Assist with Snowflake data migration and integration activities.
- Migrate applications, scripts, and data pipelines from on-premise/legacy environments to AWS.
- Develop and optimize data pipelines using Python, SQL, and AWS services.
- Perform data validation, reconciliation, troubleshooting, and performance tuning.
- Collaborate with data engineers, architects, and business teams during the migration and modernization process.
- Document existing and newly developed ETL processes and technical solutions.
Required Skills
- Hands-on experience with Perl scripting.
- Experience converting Perl scripts to Python.
- Strong understanding of ETL/data migration processes.
- Experience with Snowflake and Snowflake data migration.
- Experience with AWS cloud migration and AWS data services.
- Strong understanding of data transformation, data validation, and reconciliation.
- Experience working with legacy application modernization and migration projects.
Preferred Skills
- AWS services such as S3, Lambda, Glue, Redshift, and/or EC2.
- Snowflake ETL/ELT and performance optimization.
- Experience with CI/CD and Git.
- Experience working in large enterprise or banking environments.
- Knowledge of data warehousing and cloud data architecture.
Overall Focus:
The primary focus of this role is Perl-to-Python modernization, ETL migration to Snowflake, and migration of data processes/applications to AWS.
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