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Data Governance / DataHub Engineer

Survey Sampling International Hyderabad Private Ltd. (India)
🇭🇺 Hungary
Remote
Manager or above
1 week ago
  • Databricks
  • Snowflake
  • Airflow
  • Python
  • Docker
  • Kubernetes
  • Helm
  • OpenAPI
  • Apache
  • RBAC
  • REST API
  • Alation
  • Collibra
  • GDPR
  • CCPA
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The Data Governance DataHub Engineer is responsible for deploying, managing, and extending the enterprise metadata management and data governance platform built on LinkedIn's open-sourceDataHub. This role ensures the discoverability, lineage, ownership, and compliance of all data assets across thelakehouse ecosystem.  

KEY RESPONSIBILITIES  

▸  Architect, deploy, andoperate theDataHub metadata platform in cloud and on-premises environments  

▸  IntegrateDataHub withlakehouse sources including Databricks, Snowflake, Kafka, Airflow, and BI tools  

▸  Configure andmaintain automated metadata ingestion pipelines (DataHub Managed Ingestion)  

▸  Build andmaintain data lineage graphs across the full data stack (source to dashboard)  

▸  Implement data classification, tagging, and business glossary withinDataHub  

▸  Enable and enforce data ownership assignment and stewardship workflows  

▸  Collaborate with data governance team to translate policies into platform controls  

▸  Develop customDataHub plugins and APIs to extend platform capabilities  

▸  MonitorDataHub platform health, storage, and ingestion job performance  

▸  Train data stewards, owners, and consumers onDataHub usage and governance standards  

 

REQUIRED QUALIFICATIONS  

▸  5+ years in data engineering or platform engineering roles  

▸  2+ years of hands-on experience withDataHub deployment and configuration  

▸  Strongproficiency in Python for writing customDataHub recipes and plugins  

▸  Experience with Docker, Kubernetes, and Helm chart management  

▸  Familiarity with metadata standards:OpenLineage,OpenAPI, Apache Atlas metadata models  

▸  Understanding of data governance concepts: data lineage, classification, stewardship, and RBAC  

▸  Experience integrating with REST APIs and event-driven architectures (Kafka)  

▸  Bachelor's degree in Computer Science or related technical field  

 

PREFERRED QUALIFICATIONS  

▸  Experience with Atlan, Alation, or Collibra as complementary or alternative catalog tools  

▸  Familiarity with GDPR/CCPA data inventory and lineage reporting requirements  

▸  Knowledge ofgreat expectations or Monte Carlo for data observability  

 

At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.

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Data Governance / DataHub Engineer · Survey Sampling International Hyderabad Private Ltd. (India)

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