Data Engineer III

Who were looking for: Primary Responsibilities: Builds and maintains relevant and reliable Menu data products that supportmenu and marketingAnalytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view. Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery ofmarketing and menu-related products. Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets. Drive and implement best practices for pipeline development, data governance, data security and quality acrossmarketing and menu-related datasets. Ensure scalability, maintainability, and quality of data systems poweringmenu item tracking, promotion data, and marketing analytics. Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs. Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference. Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics. Ability and flexibility to coordinate and work with teams distributed across time zones, as needed Skill: Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem. 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. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid.

Location: hyderabad, IN

Posted Date: 6/12/2025