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Sr. Data Quality Analyst

Foothills Consulting Group, Inc

This is a Full-time position in Los Angeles, CA posted July 15, 2021.

Data Quality Engineer
– DQM
– 12 months + project (Contract-to-Hire) As a Data Quality Engineer in DQM team, you will provide the technical and business skills to ensure Company data is trusted.

The ideal candidate will help to define, measure, support and certify the data pipelines and systems that serve data to our business and millions of users.

We are looking for an amazing Data Quality Engineer who will be an exceptional addition to our growing team, some who:

Can recommend data quality tactical and strategic approach

Identifies data anomalies and certify data

Has the curiosity to research and learn new technologies and skills

Employs positive thinking and can work constructively in a team setting

Is passionate about data quality, BigData and related technologies

If this sounds like you, Company DQM team wants your help to make sure our data is trusted.

Responsibilities

Use internal and external analytics tools to access, assess and certify data

In-depth exploration of causes, trends, opportunities, and actions required to improve data quality of key metrics, KPIs, and additional data elements

Provide ad hoc analysis to support data team, business units, and key stakeholders for complex data quality questions

Perform all aspects of data quality testing, certification, and reporting

Automate processes, procedures, and workflows to ease data quality certification process

Collaborate with engineering, management, product, and business teams to improve data quality across products and projects

Basic Qualifications

5+ years’ experience in SQL programming: ability to read/write complex SQL queries to analyze data, investigate systemic defects and validate data quality

2+ years’ experience working with Big Data technologies (Cloudera, Hortonworks, Hadoop/Spark etc), relational databases (Sql ,mySql) as well as reporting tools like Tableau

2+ years of experience in programming languages like Python or Scala/Java; in addition to standard frameworks that implement data quality checks.

Familiar with version control system like GIT

Good math and statistic background to define advanced DQ checks

Excellent analytical ability to understand business use cases and business processes in terms of data, root causes and recommended solutions/mitigations

Ability to collaborate cross-functionally with various teams across the DATA organization

Capability to assess and problem-solve complex issues

Exceptional written and oral communication skills that translate across technical and business stakeholders

Independent, energetic, highly technical, and strive for results while dealing with ambiguity and tight deadlines

Passion and creativity
– Are passionate about data quality, technology, & creative innovation.

Preferred Qualifications

2+ years of experience working in online services or entertainment industry

Proficiency with agile development methodologies and process

Good knowledge of cloud computing (AWS) and automation on it.

Experience with real-time and very large scalable online systems are preferred

Required Education

Bachelor’s Degree in Computer Science, Information Systems, or related technical discipline or its equivalent.

– provided by Dice