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Data Quality Specialist - Observability

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We are hiring a Data Quality (DQ) Observability Engineer. You will be responsible for implementing end-to-end data quality framework, collaborating with teams, and presenting DQ results to stakeholders. Strong problem-solving and communication skills are required. Experience with cloud platforms, scripting, automation, and data science technologies is essential. Proficiency in SQL, Python, and Agile methodologies is a must. If you have expertise in data lakes and Azure, it's a bonus. Join us to drive data quality and innovation in a demanding environment.

JOB DESCRIPTION

Data Quality (DQ) Observability Engineer

  • Familiarity with cloud platforms and containerization technologies (Data Bricks).
  • Proficiency in scripting and automation using languages such as Python,
  • Excellent problem-solving skills with the ability to analyse complex issues and provide efficient solutions.
  • Strong communication skills and the ability to collaborate effectively across teams.
  • Understanding of Agile and DevOps and GIT principles and their application in observability and monitoring contexts.
  • Solid experience with instrumentation practices, including metrics, logging, and distributed tracing.
  • E2E implementation. Right from requirement gathering and DQ design engaging with the Data Asset owners, development, and reporting.
  • Development DQ rules with the help of Databricks
  • Presentation of DQ results to the Data Asset Owners and other stakeholders and work with them to create an action plan to improve the DQ results.
  • Putting in place specific Data Improvement Plans
  • Scale up the DQ framework to all the data assets and more.
  • Ensure systems run efficiently, monitoring system performance and manage support in demanding environment.
  • Manage the configuration of existing toolset for data quality, KPI system and Reporting.
  • Proficiency in implementing and maintaining observability tools is a plus

Qualifications and Experience Required

  • Degree level education, preferably with overall 7-8 years of experience in SQL, Data warehousing and hands on Data Science
  • Must be proficient and have experience in Data Science related technologies.
    • Strong Python/ PySpark and SQL development skills
    • Experience in Azure Databricks
    • Agile development methodology using DevOps and GIT repos.
  • Experience with Big Data tools and Cloud environment, especially Azure is a big plus.
  • Expertise in converting Functional requirements to technical solutions and present in the business context.
  • Experience in working with Hub and Spoke model data lakes, preferably with Diageo context is a big plus.
  • Keeping pace with IT trends, innovation and new developments in technology space
  • Strong Communication Skills required.
Set alert for similar jobsData Quality Specialist - Observability role in Bengaluru, India
Diageo Logo

Company

Diageo

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

8-12 Years

Category

Software Engineering

Locations

Bengaluru, Karnataka, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

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