Data Engineer
1 day ago
Responsibilities:
• Design, develop, and implement data engineering solutions and data warehousing on Databricks.
• Ensure accurate ingestion, integration, and curation of data to deliver valuable information to stakeholders.
• Develop efficient processes for data ingestion from diverse sources to Databricks on Azure.
• Provide guidance, coaching, and training to entry level and new team members on standards, processes, and documentation.
• Collaborate effectively with a large team of Data Engineers, Data Architects, and DevOps Engineers.
• Work towards developing expertise in Python or Apache Spark for data transformations.
• Ensure seamless integration of data across the enterprise and drive automation of repetitive tasks.
• If not already certified, aim to successfully obtain certification in Epic Clarity Data Model within the first six months of employment.
• Emphasis on providing research-ready datasets.• Proficiency in Apache, Azure Databricks, Databricks, and Microsoft Azure
• Solid understanding of Continuous Integration / Continuous Delivery (CICD) processes
• Experience with ETL (Extract Transform Load) methodologies
• Familiarity with Snowflake and Azure Data Lake
• Demonstrable experience in data engineering
• Strong problem-solving skills and analytical abilities
• Excellent communication skills, both written and verbal
• Ability to work collaboratively within a team
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience
• Strong attention to detail and organizational skills.
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