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Sr Manager, Data Engineering

Sr Manager, Data Engineering

McDonalds in IndiaHyderabad, India
30+ days ago
Job description

Position Summary :

Looking to hire a Senior Engineer at the G5 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Finance, Franchising & Development function with a specific focus on the Finance Analytics product and initiatives. As a Senior Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted financial data, supports decision-making, and partners with business and technology teams to align data capabilities with strategic finance objectives. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.

Who were 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.
  • Develop strategies for scaling Financial Analytics data products across the organization, ensuring solutions are adaptable and future-ready
  • Act as the technical subject matter expert (SME) for development squads, providing guidance on architecture, design, and best practices
  • Ensure data quality and integrity through audits, validation processes as per financial regulations per country, and governance frameworks.
  • Collect feedback from business stakeholders and end-users to continuously improve financial data products and align with evolving business requirements.
  • Collaborate with cross-functional teams to ensure data solutions are aligned with business and financial analytical needs.
  • Lead and manage a team of data engineers, providing mentorship, guidance, and technical direction.
  • Ensure comprehensive documentation for each financial data product, covering technical specifications, use cases, and performance metrics
  • Stay updated with emerging technologies, trends in data engineering and bring relevant advancements / adoption of tools that enhance product development and delivery in Finance Analytics.
  • Regularly report on portfolio progress, performance metrics, and project statuses to executive leadership and key stakeholders.
  • Conduct performance reviews, coach team members, and support career development initiatives.
  • Champion upskilling and training across the engineering team to ensure continued excellence in delivering finance-related solutions.
  • Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.

Skill :

  • Provides technical leadership and drives operational excellence across Finance Analytics data engineering initiatives
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field
  • 8+ years of professional experience in data engineering or related domains
  • 4+ years of AWS or GCP experience
  • Proficient in programming languages (e.g., Python, Java, Scala) and data pipeline orchestration (e.g., Apache Airflow, Luigi)
  • Strong experience with distributed systems, big data platforms, and data storage technologies (e.g., Hadoop, Spark, NoSQL)
  • Strong knowledge in data architecture, cloud platforms, data pipelines, and software development best practices
  • Proven success in managing and scaling data engineering teams in complex environments
  • Ability to convey complex technical concepts to non-technical stakeholders and report on project progress effectively
  • Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
  • A self-initiated influencer, Systems thinker and strong stakeholder management.
  • Exceptional problem-solving and innovation skills with a strategic mindset.
  • Work location : Hyderabad, India

    Work pattern : Full time role.

    Work mode : Hybrid.

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    Manager Data Engineering • Hyderabad, India

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