Senior Data Engineer

Job description

Job Description:

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.

Essential Duties And 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 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

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
  • 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

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
  • 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

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

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