Tbwa Chiat/Day Inc
Data Engineer
Tbwa Chiat/Day Inc, Kansas City, Missouri, United States, 64101
As the Data Engineer, you will maintain, clean, and manipulate data in our operational and analytics databases. You will work with our data scientists, data analytics teams, reporting teams, and IT to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any issues.
Key Responsibilities:Design, develop, and maintain Snowflake data warehouse solutions.Implement data pipelines and ETL processes to support data integration and analytics.Work with Data Suppliers (technical) for receiving data feeds.Validate data delivery from Data Suppliers to ensure data is aligned to expectations, resolving technical & data issues as they arise.Collaborate with cross-functional teams to gather requirements and deliver data solutions.Maintain operational documents to ensure they are current.Create optimal data pipeline architecture, troubleshoot and resolve issues related to data integration and job scheduling.Stay current with trends and best practices in Snowflake and AWS technologies.Provide support and training to team members on Snowflake best practices.Qualifications:Bachelor's degree (or equivalent experience) in Computer Science, Information Technology.Very strong on SQL; Must have 3-4+ years of experience working with SQL on large scale datasets.Must have experience in Cloud based Data Engineering with design, implementation and operationalization of large-scale data and analytics solutions, ideally Snowflake.Experience with Python programming language.Must have experience on ETL development life cycle, best practices of ETL pipelines, thorough work experience on data warehouse using combination of Python, Snowflake & AWS Services.Experience with marketing/advertising is a huge plus.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.Must be able to work under pressure.
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Key Responsibilities:Design, develop, and maintain Snowflake data warehouse solutions.Implement data pipelines and ETL processes to support data integration and analytics.Work with Data Suppliers (technical) for receiving data feeds.Validate data delivery from Data Suppliers to ensure data is aligned to expectations, resolving technical & data issues as they arise.Collaborate with cross-functional teams to gather requirements and deliver data solutions.Maintain operational documents to ensure they are current.Create optimal data pipeline architecture, troubleshoot and resolve issues related to data integration and job scheduling.Stay current with trends and best practices in Snowflake and AWS technologies.Provide support and training to team members on Snowflake best practices.Qualifications:Bachelor's degree (or equivalent experience) in Computer Science, Information Technology.Very strong on SQL; Must have 3-4+ years of experience working with SQL on large scale datasets.Must have experience in Cloud based Data Engineering with design, implementation and operationalization of large-scale data and analytics solutions, ideally Snowflake.Experience with Python programming language.Must have experience on ETL development life cycle, best practices of ETL pipelines, thorough work experience on data warehouse using combination of Python, Snowflake & AWS Services.Experience with marketing/advertising is a huge plus.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.Must be able to work under pressure.
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