Data Engineer| Remote| Contract

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Requirements:

• Bachelor’s degree in computer science or related field.
• 5-7 years of experience in Snowflake, Databricks management.
• Strong experience in Python and AWS Lambda.
• Knowledge of Scala and/or Java.
• Experience with data integration services, SQL, and ELT.
• Familiarity with Azure or AWS for development and deployment.
• Experience with Jira or similar tools during SDLC.
• Experience managing codebase using Git/GitHub or Bitbucket.
• Experience working with a data warehouse.
• Familiarity with structured and semi-structured data formats like JSON, Avro, ORC, Parquet, or XML.
• Exposure to agile work environments.

Responsibilities:

• Design and implement core data analytic platform components for various analytics groups.
• Review approaches and data pipelines for best practices.
• Maintain a common data flow pipeline including ETL activities.
• Support and troubleshoot data flow in cloud environments.
• Develop data pipeline code using Python, Java, AWS Lambda, or Azure Data Factory.
• Perform requirements planning and management throughout the data asset development life-cycle.
• Direct and help developers to adhere to data platform patterns.
• Design, build, and document RESTful APIs using OpenAPI specification tools.