Senior Data Quality Engineer

OP; Seattle (WA); On-site; USD 137,000 - 200,000; Full time

Job summary

OP is seeking an experienced Senior Data Quality Engineer for a leading entertainment company. The role involves testing ETL pipelines, ensuring data quality, and collaborating with various teams. A strong background in SQL and data analytics is essential.

Benefits

401(k)

Dental Insurance

Health insurance

Vision insurance

Qualifications

• Minimum 4 years’ experience in validating ETL pipelines and Data Warehouses.
• Strong programming skills in Scala/Java or scripting in Python.

Responsibilities

• Test and validate ETL logic and Data Pipelines.
• Own the quality of every release into production.
• Build automated and reusable tests for data stores.

Skills

SQL

Data Analytics

Data Engineering

Data Modeling

Communication

Education

Bachelors Degree

Tools

Airflow

Hive

Snowflake

Databricks

Spark

JUnit

TestNG

Job description

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OP is seeking an experienced Senior Data Quality Engineer for a leading entertainment company. If you're enthusiastic and eager to make a meaningful impact in a forward-thinking organization, we'd love to hear from you.

Responsibilities

• Test and validate ETL logic and Data Pipelines.
• Own the quality of every release into production with a data-driven approach.
• Create, deliver, and continuously improve our quality processes for delivering.
• operational data to address all types of subscriber and commerce operations to our stakeholders.
• Partner with Data Analysts, Product, and Engineering teams to deeply understand the underlying transactional systems' behavior and business use cases.
• Translate reporting and operational technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations into test requirements.
• Build automated and reusable tests for data stores to improve quality and development velocity
• Diagnose issues, report defects, and propose regression tests to catch recurring bugs
• Mentor fellow Test Engineers on the team to ramp up on automation concepts and contribute towards expanding test coverage
  
  

Required Qualifications

• Minimum 4 years’ experience in Quality validating ETL pipelines and Data Warehouses.
• Expert SQL knowledge and experience working with relational databases, as well as a working familiarity with a variety of databases.
• Good experience in data analytics, data engineering, data modeling, data warehousing, and a big data platform.
• Strong programming (Scala/Java) or scripting skills (Python).
• Experience with but not limited to JUnit/TestNG/BDD or similar tools.
• Experience in a range of common big data tools & technologies such as Airflow, Hive, Snowflake, Databricks, Spark, etc.
• Experience in working with large datasets (Terabytes or more).
• Ability to operate effectively in a team-oriented and collaborative environment.
• Excellent communication skills and the ability to interact with all levels of end users and technical resources.
  
  

Educational Qualification

• Bachelors Degree.
  
  

Benefits

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
  
  

Additional Responsibilities

• Participate in OP monthly team meetings, and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
  
  

About Us

OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Quality Assurance

• Industries

  Entertainment Providers

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