Chief Data Architect

3 days ago

Dindigul, Tamil Nadu, India beBeeDataEngineer Full time ₹ 80,00,000 - ₹ 1,00,00,000

We are seeking a highly skilled Data Architect with expertise in cloud-based data platforms, Databricks, and CI/CD practices.

Key Responsibilities:
  • Data Ingestion and Processing: Design, implement, and manage large-scale data pipelines using Databricks and Python.
  • Pipeline Optimization: Configure and maintain GitHub branch protection rules and workflows to ensure smooth code integration and deployment.
  • Spark Job Development: Build, optimize, and debug Spark jobs in Databricks for efficient data processing.
  • Databricks Deployments: Automate Databricks deployments using Databricks Asset Bundles (DABs) or similar frameworks.
  • Data Pipelines: Develop, test, and maintain robust data pipelines using Python, SQL, and YAML configuration management.
  • Quality Checks: Implement unit testing, validation, and quality checks for data workflows.
  • Multitenancy: Manage multi-environment deployments ensuring reliability and consistency.
  • Troubleshooting: Troubleshoot and resolve configuration or syntax issues in YAML and related files.
  • Legacy Report Migration: Ensure business continuity by migrating legacy reports into modern, self-serve dashboards.
  • Partner Collaboration: Partner with cross-functional teams to deliver trusted data models, insights, and reporting.
  • Data Contracts: Establish data contracts, quality checks, and documentation for long-term reliability.

Requirements:

  • Technical Skills: Strong skills in SQL, Databricks, Python/R, GitHub, and CI/CD practices.
  • Automation Experience: Experience in implementing unit tests and quality checks in data workflows.
  • YAML Configuration: Familiarity with YAML configuration management and debugging.
  • Cloud-Based Data Platforms: Experience with Snowflake or another cloud data warehouse.
  • Databricks Asset Bundles: Knowledge of Databricks Asset Bundles or similar automation tools.

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