As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains its competitive edge. Pattern values data and the engineering required to take full advantage of it.
Key responsibilities
Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse
Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures
Collaborate with technology teams and partners to specify data requirements and provide access to data
Tune application and query performance using profiling tools and SQL or other relevant query language
Understand business, operations, and analytics requirements for data
Build data expertise and own data quality for assigned areas of ownership
Work with data infrastructure to triage issues and drive to resolution
About you
Bachelor's or Master's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
Working with SQL
Experience in implementing modern data architecture-based data warehouses
Experience working with data warehouses such as Redshift, BigQuery, or Snowflake and understand data architecture design
Familiarity with big data tools such as Kafka, Spark, Hadoop
Strong scripting experience in Python or similar languages for data pipeline development and automation
Experience with data orchestration and ETL tools such as Apache Airflow, AWS Glue, or similar platforms
Strong communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
Expertise with data systems working with massive data sets from various data sources
About us
Pattern is the premier partner for global ecommerce acceleration and is headquartered in Utah's Silicon Slopes tech hub with offices in Asia, Australia, Europe, the Middle East, and North America. Valued at $2 billion, Pattern has been named one of the fastest-growing tech companies in North America by Deloitte and one of best-led companies in America by Inc. More than 100 global brands like Nestle, Sylvania, Kong, Panasonic, Sorel, Skullcandy, and Popsockets rely on Pattern's global ecommerce acceleration platform to scale their business around the world.
Great benefits including time off, insurance, competitive pay
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Key responsibilities
Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse
Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures
Collaborate with technology teams and partners to specify data requirements and provide access to data
Tune application and query performance using profiling tools and SQL or other relevant query language
Understand business, operations, and analytics requirements for data
Build data expertise and own data quality for assigned areas of ownership
Work with data infrastructure to triage issues and drive to resolution
About you
Bachelor's or Master's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
Working with SQL
Experience in implementing modern data architecture-based data warehouses
Experience working with data warehouses such as Redshift, BigQuery, or Snowflake and understand data architecture design
Familiarity with big data tools such as Kafka, Spark, Hadoop
Strong scripting experience in Python or similar languages for data pipeline development and automation
Experience with data orchestration and ETL tools such as Apache Airflow, AWS Glue, or similar platforms
Strong communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
Expertise with data systems working with massive data sets from various data sources
About us
Pattern is the premier partner for global ecommerce acceleration and is headquartered in Utah's Silicon Slopes tech hub with offices in Asia, Australia, Europe, the Middle East, and North America. Valued at $2 billion, Pattern has been named one of the fastest-growing tech companies in North America by Deloitte and one of best-led companies in America by Inc. More than 100 global brands like Nestle, Sylvania, Kong, Panasonic, Sorel, Skullcandy, and Popsockets rely on Pattern's global ecommerce acceleration platform to scale their business around the world.
Great benefits including time off, insurance, competitive pay
#J-18808-Ljbffr
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