Unity Catalog Migration

This role focuses on migrating existing data environments from Apache Hive Metastore to Databricks Unity Catalog, leveraging Scala for data transformations and pipeline adjustments.

A seasoned senior candidate with 8+ years of relevant experience with strong expertise in Databricks, Scala, Spark with Azure cloud environment.

The typical responsibilities include;

• Experience with large-scale data migrations.
• Good knowledge and implementation experience in data lineage and auditing tools.
• Assessment & Planning: Analyze the current Hive Metastore environment, including data models, pipelines, and access controls, to define a comprehensive migration strategy to Unity Catalog.
• Unity Catalog Setup: Configure and manage Unity Catalog metastores, external locations, and credentials within Databricks workspaces.
• Metadata Migration: Develop and execute Scala-based scripts and Databricks notebooks to migrate Hive Metastore tables, views, and associated metadata to Unity Catalog. This may involve using Unity Catalog's upgrade wizard or custom solutions for complex scenarios.
• Data Governance & Security: Implement and enforce Unity Catalog's centralized access controls (ACLs, grants) to ensure secure data access and compliance.
• Pipeline Modernization: Refactor existing Scala/Spark data pipelines to integrate seamlessly with Unity Catalog, updating table references and ensuring data integrity during and after migration.
• Testing & Validation: Conduct thorough testing to validate data consistency, performance, and access control policies in the Unity Catalog environment.
• Documentation: Create comprehensive documentation for the migration process, including architecture diagrams, migration scripts, and operational procedures.
• Collaboration: Work closely with data architects, data scientists, and other engineering teams to ensure a smooth transition and adoption of Unity Catalog.
• Required Skills & Qualifications:
• Expertise in Scala: Strong proficiency in Scala for data manipulation, Spark development, and building robust data pipelines.
• Databricks Platform: In-depth knowledge of Databricks, including Spark, Delta Lake, and Databricks notebooks.
• Unity Catalog: Hands-on experience with Unity Catalog setup, configuration, and migration strategies.
• Hive Metastore: Solid understanding of Hive Metastore concepts and its integration with data processing frameworks.
• Cloud Platforms: Experience with cloud platforms (e.g., Azure, AWS, GCP) and their data storage services (e.g., ADLS, S3, GCS).
• Data Governance: Familiarity with data governance principles, access control mechanisms, and data security best practices.
• Problem-Solving: Excellent analytical and problem-solving skills to address complex migration challenges.

Roles and Responsibilities

This role focuses on migrating existing data environments from Apache Hive Metastore to Databricks Unity Catalog, leveraging Scala for data transformations and pipeline adjustments.

A seasoned senior candidate with 8+ years of relevant experience with strong expertise in Databricks, Scala, Spark with Azure cloud environment.

The typical responsibilities include;

• Experience with large-scale data migrations.
• Good knowledge and implementation experience in data lineage and auditing tools.
• Assessment & Planning: Analyze the current Hive Metastore environment, including data models, pipelines, and access controls, to define a comprehensive migration strategy to Unity Catalog.
• Unity Catalog Setup: Configure and manage Unity Catalog metastores, external locations, and credentials within Databricks workspaces.
• Metadata Migration: Develop and execute Scala-based scripts and Databricks notebooks to migrate Hive Metastore tables, views, and associated metadata to Unity Catalog. This may involve using Unity Catalog's upgrade wizard or custom solutions for complex scenarios.
• Data Governance & Security: Implement and enforce Unity Catalog's centralized access controls (ACLs, grants) to ensure secure data access and compliance.
• Pipeline Modernization: Refactor existing Scala/Spark data pipelines to integrate seamlessly with Unity Catalog, updating table references and ensuring data integrity during and after migration.
• Testing & Validation: Conduct thorough testing to validate data consistency, performance, and access control policies in the Unity Catalog environment.
• Documentation: Create comprehensive documentation for the migration process, including architecture diagrams, migration scripts, and operational procedures.
• Collaboration: Work closely with data architects, data scientists, and other engineering teams to ensure a smooth transition and adoption of Unity Catalog.
• Required Skills & Qualifications:
• Expertise in Scala: Strong proficiency in Scala for data manipulation, Spark development, and building robust data pipelines.
• Databricks Platform: In-depth knowledge of Databricks, including Spark, Delta Lake, and Databricks notebooks.
• Unity Catalog: Hands-on experience with Unity Catalog setup, configuration, and migration strategies.
• Hive Metastore: Solid understanding of Hive Metastore concepts and its integration with data processing frameworks.
• Cloud Platforms: Experience with cloud platforms (e.g., Azure, AWS, GCP) and their data storage services (e.g., ADLS, S3, GCS).
• Data Governance: Familiarity with data governance principles, access control mechanisms, and data security best practices.
• Problem-Solving: Excellent analytical and problem-solving skills to address complex migration challenges.