High-Performance Data Architect

4 days ago

Kanpur, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 18,12,500 - ₹ 23,45,000

We are seeking a skilled Data Engineer to join our team.

Job Description

Data Engineering Role:

The ideal candidate will have a deep understanding of data product lifecycle, standards, and practices. This role involves building scalable and efficient data solutions to support brand marketing / menu function with a specific focus on the menu data product and initiatives.

Your Key Responsibilities:

  • Builds and maintains relevant and reliable menu data products that support menu and marketing analytics.
  • Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability.
  • Works closely with the product owner to define business rules that determine the quality of menu datasets.
  • Drives and implements best practices for pipeline development, data governance, data security, and quality across marketing and menu-related datasets.
  • Ensures scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
  • Stays up to date with emerging data engineering technologies, trends, and best practices, and evaluates their applicability to meet evolving product mix analytics needs.
  • Documents data engineering processes, workflows, and solutions for knowledge sharing and future reference.
  • Mentors and coaches junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.

Required Skills and Qualifications:

  • Bachelor's or master's degree in computer science or related engineering field and deep experience with cloud computing.
  • 5+ years of professional experience in data engineering or related fields.
  • Proficiency in Python, Java, or Scala for data processing and automation.
  • Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL).
  • Expert knowledge of data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
  • Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools.
  • Proven ability to mentor team members and lead technical initiatives across multiple workstreams.
  • Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards.
  • Demonstrated experience in data management & data governance capabilities.
  • Familiarity with data warehousing principles and best practices.
  • Excellent problem solver - use of data and technology to solve problems or answer complex data-related questions.
  • Excellent collaboration skills to work effectively in cross-functional teams.

Benefits:

This is an excellent opportunity to grow your career in a fast-paced and dynamic environment. Our company offers competitive salary and benefits packages, as well as opportunities for professional growth and development.

Others:

Please note that we value diversity and inclusion in the workplace. We welcome applications from qualified candidates who share our values and are passionate about delivering exceptional results.

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