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Data Engineer II
Data Engineer IIMcDonalds in India • Hyderabad, India
Data Engineer II

Data Engineer II

McDonalds in India • Hyderabad, India
30+ days ago
Job description

Who we are looking for :

Primary Responsibilities :

  • Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
  • Participates in new software development and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products.
  • Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets.
  • Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements.
  • Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure.
  • Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs.
  • Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
  • Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks.
  • Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.

Skill :

Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives

  • Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
  • 3+ 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)
  • Good working 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
  • 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.

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