Job Summary We are seeking a highly motivated Data Engineer to design, build, and maintain operational and analytical data platforms. This role involves working on modern data infrastructure, including data lakes, and contributing to solution design, data analysis, production deployment, and ongoing support. The position offers an opportunity to play a key role in enhancing data capabilities using technologies such as Snowflake, AWS, and Python. Key Responsibilities Design, develop, and maintain scalable data pipelines and data platform solutions Build and optimize ELT/ETL processes for data movement across systems, including Snowflake Support data lake architecture and ensure efficient data ingestion, processing, and storage Perform data analysis to support business and technical requirements Participate in production deployment, monitoring, and support activities Optimize SQL queries and improve performance of data processing workflows Implement and maintain CI/CD pipelines for data engineering workflows Collaborate with cross-functional teams to improve system efficiency and data accessibility Work with data modeling techniques including dimensional and Data Vault models Ensure adherence to best practices in data engineering, DevOps, and Agile methodologies Explore and evaluate new tools and technologies to enhance data capabilities Required Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field 10+ years of overall experience in technology roles 6+ years of experience in data warehousing and data mart concepts and implementations 4+ years of experience developing ELT/ETL pipelines, particularly with Snowflake 4+ years of experience working with AWS services such as EC2, IAM, S3, EKS, KMS, SNS/SQS, CloudWatch, and CloudFormation At least 1 year of experience in object-oriented programming languages such as Python or Java Strong proficiency in SQL and SnowSQL Experience in SQL query optimization and performance tuning Experience with job scheduling tools such as Control-M or similar Strong data analysis and data modeling skills Experience with container technologies such as Docker and Kubernetes Experience with DevOps practices and CI/CD tools such as Maven, Jenkins, Git-based tools, and Ansible Experience working in Agile environments such as Scrum or Kanban Ability to work in a fast-paced environment and manage ambiguity Strong collaboration and interpersonal skills Preferred Qualifications Advanced expertise in SQL and performance optimization techniques Experience working with modern data lake architectures Exposure to automation and system optimization practices Strong interest in learning new technologies and applying them to business use cases Proven ability to contribute to process improvements and team efficiency Education: Bachelors Degree
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: compun
- Position Id: AGADC5791704
- Posted 11 hours ago
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