Data Engineer

7 days ago


Emerald Lake Hills, California, United States JobRialto Full time
Job Title: Senior Data Engineer

We are searching for a highly skilled Senior Data Engineer to lead the modernization of our Customer Relationship Management (CRM) platform. The ideal candidate will have expertise in cloud-native technologies, particularly AWS and Snowflake, and a strong background in designing and building scalable, resilient, and efficient data solutions.

Key Responsibilities:

  • Design, develop, and optimize cloud-based data solutions using AWS services such as Lambda, Glue, and step functions.
  • Build and manage data pipelines in Snowflake and migrate data from on-premise to AWS.
  • Collaborate on DevOps and CI/CD processes using tools such as Maven, Jenkins, Terraform, and GitHub.
  • Manage API-database connections across relational databases like Oracle and PostgreSQL.
  • Monitor, validate, and troubleshoot issues in development, testing, and production environments.
  • Ensure data quality, governance, and lineage, working closely with data management practices.

Required Qualifications:

  • Bachelor's degree in Computer Science or related field.
  • Expertise in data modeling, data profiling, data analysis, and data governance.
  • Proven experience with AWS services (Lambda, Glue, step functions) and database migration to AWS.
  • Strong SQL skills with a background in ETL and experience in data pipeline scheduling.
  • Experience with Snowflake for building pipelines and Aurora Postgres is a plus.
  • Proficiency in DevOps/CI/CD pipelines using tools like Maven, Jenkins, Terraform, and Ansible.
  • Familiarity with messaging technologies such as Kafka, Kinesis, SNS, and SQS.
  • Experience in managing API connections to relational databases (Oracle, PostgreSQL).

Preferred Qualifications:

  • Cloud-based certifications in AWS architecture, security, or data management.
  • Knowledge of open-source technologies for building distributed systems.
  • Background in highly scalable systems and distributed data management.

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