Data Engineer- Snowflake

You are a skilled Data Engineer with a strong background in Python, Snowflake, and AWS. Your primary responsibility will involve constructing and refining scalable data pipelines, integrating various data sources, and supporting analytics and business intelligence solutions within a cloud-based setting. An essential aspect of your role will entail the design and supervision of AWS Glue Jobs to facilitate efficient, serverless ETL workflows. Your key duties will revolve around designing and executing robust data pipelines using AWS Glue, Lambda, and Python. You will extensively collaborate with Snowflake for data warehousing, modeling, and analytics assistance. Managing ETL/ELT jobs using AWS Glue to ensure consistent data reliability will be a crucial part of your responsibilities. Furthermore, you will be tasked with migrating data between CRM systems, particularly from Snowflake to Salesforce, adhering to defined business protocols and ensuring data precision. It will also be your responsibility to optimize SQL/SOQL queries, manage large data volumes, and sustain high-performance levels. Additionally, implementing data normalization and quality checks will be essential to guarantee accurate, consistent, and deduplicated records. Your required skills include strong proficiency in Python, hands-on experience with Snowflake Data Warehouse, and familiarity with AWS services such as Glue, S3, Lambda, Redshift, and CloudWatch. You should have experience in ETL/ELT pipelines and data integration using AWS Glue Jobs, along with expertise in SQL and SOQL for data extraction and transformation. Moreover, an understanding of data modeling, normalization, and performance optimization is essential for this role. It would be advantageous if you have experience with Salesforce Data Loader, ETL mapping, and metadata-driven migration, as well as exposure to CI/CD tools, DevOps, and version control systems like Git. Previous work experience in Agile/Scrum environments will also be beneficial for this position.,