Senior Data Engineer

2 Months ago • 7 Years + • Data Analysis

Job Summary

Job Description

As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains our competitive edge. You will develop, deploy, and support data streams. You will also implement data auditing strategies, collaborate with technology teams, and translate business requirements. The role involves tuning application performance, fostering data expertise, and owning data quality.
Must have:
  • 7+ years of overall experience.
  • 3+ years of experience with SQL and Python.
  • 3+ years of experience implementing data pipelines.
  • 2+ years of experience with data warehouses.
  • Excellent software engineering and scripting knowledge.
  • Strong communication skills and cross-collaboration aptitude.
  • Expertise with massive data volumes.
Good to have:
  • Experience working with time series databases.
  • Advanced knowledge of SQL.
  • Advanced knowledge of Snowflake.
  • Background in Big Data, non-relational databases.
  • Experience with cloud-based technologies.
  • Experience with modern data platforms.
  • Expertise in Data Quality and Data Governance.
Perks:
  • Company experiencing phenomenal growth.
  • Big opportunities.
  • Great benefits.
  • Competitive pay.

Job Details

Job Description:

Pattern is a leading eCommerce data and growth company located in the Silicon Slopes tech hub with global offices in Europe, China, Australia, the Middle East, and Canada. Named one of the fastest-growing companies in the US by Inc. 500, Pattern has made its mark in the industry. Some of the biggest consumer brands like Skullcandy, Nestle, Clorox, Kong, Panasonic, Tumi, and PopSockets trust Pattern with their business. Pattern has recruited talent from brands like Amazon, eBay, Adobe, Pepsico, Apple, Google, and Oracle. 

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 our competitive edge.

Essential Duties and Responsibilities

  • Develop, deploy, and support automated, scalable real-time and batch data streams from a variety of sources into the lakehouse.
  • 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
  • Translate business and analytics requirements for data to a comprehensive data model and pipelines
  • Foster data expertise and own data quality for assigned areas of ownership
  • Work with data infrastructure to triage issues and drive to resolution

Required Qualifications

  • 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 7 + years
  • 3+ years of experience working with SQL and Python
  • 3+ years of experience in implementing data pipelines using modern data architectures
  • 2+ years of experience working with data warehouses such as Redshift, BigQuery, Snowflake, or similar
  • Experience with open-source based data architectures: Spark, Hive, Trino / Presto or similar
  • Excellent software engineering and scripting knowledge
  • Strong communication skills (both in presentation and comprehension) along with the aptitude for cross-collaboration across data management and analytics domains
  • Expertise with data systems working with massive data volumes from various data sources
  • Ability to lead a team of Data Engineers

Preferred Qualifications

  • 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 is a plus
  • 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

Our Core Values

  • 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

Why Pattern?

  • The company is a rocket ship experiencing phenomenal growth
  • We have tailwinds and a long runway; we’re barely scratching the surface
  • We have big opportunities that will get you energized and excited
  • Great benefits including time off, insurance, competitive pay

Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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About The Company

Pattern® provides a proven blend of marketplace analytics, product distribution, MAP compliance, and brand management to drive ecommerce acceleration for premium brands. We thrive on high energy, professional excellence, and disciplined creativity.

 

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