Hybrid Data Engineer at Pattern

 

Pattern values data and the engineering required to take full advantage of it.  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.

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 languages.

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

Bachelor’s Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience

Overall experience should be more than 4 + years

3+ years of experience working with SQL

3+ years of experience in implementing modern data architecture-based data warehouses

2+ years of experience working with data warehouses such as Redshift, BigQuery, or Snowflake and understand data architecture design

Excellent software engineering and scripting knowledge

Strong communication skills (both in presentation and comprehension) along with the aptitude for thought leadership in data management and analytics

Expertise with data systems working with massive data sets from various data sources

Ability to lead a team of Data Engineers

Experience working with time series databases

Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning

Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks

Background in Big Data, non-relational databases, Machine Learning and Data Mining

Experience with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue

Experience with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch

Expertise in Data Quality and Data Governance

Data Fanatics: Our edge is always found in the data

Partner Obsessed: We are obsessed with partner success

Team of Doers: We have a bias for action

Game Changers: We encourage innovation

Pattern is the premier partner for global e-commerce 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 the best-led companies in America by Inc. More than 100 global brands—like Nestle, Sylvania, Kong, Panasonic, and Sorel —rely on Pattern's global e-commerce acceleration platform to scale their business around the world. We place employee experience at the center of our business model and have been recognized as one of America's Most Loved Workplaces®. https://pattern.com/