Data Observability Specialist

6 - 8 years

6 - 8 Lacs

Posted:7 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Data Quality (DQ) Observability

  • 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.
  • Good 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 partners and work with them to build 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 handle support in demanding environment.
  • Handle 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 6-8 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
  • Good Communication Skills required

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