Chief Data Architect

10 hours ago

Gulbarga, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Unlock Data-Driven Success

Job Description:

We're seeking a skilled professional to join our team as a Senior Data Engineer. As a technology consulting and delivery company, we partner with businesses to unlock the power of their data and drive data-driven success.

  • Mission:
    • Empower businesses to transform data into actionable insights, leverage the cloud for agility and scalability, and thrive in the digital age.
    • Key Responsibilities:
      • Lead end-to-end migration of data warehousing and ETL processes from legacy systems to Snowflake and dbt.
      • Design, develop, and implement highly efficient, scalable, and reliable ETL/ELT pipelines within the new environment.
      • Optimize existing workflows for performance and cost-efficiency on the Snowflake platform.
      • Establish and enforce data quality, governance, and security standards within the new platform.
      • Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
      • Develop best practices for data modeling, CI/CD, and version control (using Git) for the new data platform.
      • Mentor junior engineers and contribute to continuous improvement of the data engineering practice.
      • Troubleshoot and resolve complex data integration and data warehouse performance issues.

Qualifications:

  • 5–10 years of professional experience in data engineering, data warehousing, or a related field.
  • Deep expertise in migrating data platforms from legacy systems to cloud environments.
  • Hands-on experience with Teradata for data warehousing and Informatica for ETL development.
  • Expert-level proficiency in Snowflake data warehousing, including performance tuning and platform administration.
  • Strong experience with dbt (data build tool) for data transformation, testing, and documentation.
  • Exceptional proficiency in SQL and at least one programming language (Python preferred).
  • Experience with cloud services and setting up data ingestion from various sources.
  • Excellent analytical, problem-solving, and communication skills.

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