Data Quality Specialist

3 days ago


Jacksonville, Florida, United States Della Infotech Full time

Data Quality Specialist

At Della Infotech, we are seeking a highly skilled Data Quality Specialist to join our team. As a Data Quality Specialist, you will play a critical role in maximizing the utility of data within Snowflake.

The ideal candidate will have a deep understanding of data profiling, standardization, and monitoring, as well as experience with Bigeye and Snowflake. You will be responsible for establishing the interface with Snowflake, profiling and configuring Bigeye for data pipelines, and establishing metadata from Snowflake within Bigeye.

Key Responsibilities

  • Configure Bigeye data observability solution to develop interface with Snowflake
  • Establish metadata from Snowflake within Bigeye along with generating extracts so that the metadata can be shared with Alation data catalog in agreed format
  • Establish data lineage of data residing within Snowflake
  • Automated monitoring of data pipelines going into Snowflake
  • Automated monitoring of data within Snowflake
  • Snowflake Data lineage through Bigeye
  • Configuration of reports, metrics to showcase data anomalies within Snowflake
  • Develop workflows, notifications about data anomalies
  • In partnership with business and IT stakeholders, adhere to schedule of deliverables and milestones to ensure that data can be standardized in a timely manner
  • Lead meetings with stakeholders to demonstrate tool capabilities, configurations, and walkthrough of the solution

Requirements

  • Bachelor's Degree (B.A. or B.S.) from 4 year college or university
  • Master's Degree (M.A. or M.S.) is preferred
  • 3-5 years of relevant job experience in developing reports for data profiling and data quality
  • At a minimum, experience of 1-2 projects using Bigeye or any other comparable data observability tool
  • Understanding of Snowflake and Financial data managed within Snowflake
  • Skilled at using SQL scripts to analyse and transform data
  • Usage of AI/ML to profile, identify rules, transform and cleanse data within data warehouse, data lakes
  • Excellent interpersonal and communication skills
  • Ability to act independently and as part of a team
  • Track record of dealing well with ambiguity, prioritizing needs, planning and managing multiple projects, and delivering measurable results in a fast-paced environment
  • Demonstrated partnering skills with both technical and non-technical partners
  • Self-motivated and results-oriented with a drive to learn new technologies


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