Data Engineer III T500-22780

Position: Data Engineer III [T500-22780]
About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Job Description:

We are excited to announce an opening for Data Engineer III at MCC India.

Please find below the details of the role and its responsibilities.

Skills Required:

Data Engineer, Data Engineering, Python, SQL, Kafka, Data Orchestration, Apache Airflow, Confluent, API, Rest API, API Management, GCP, Tableau

Experience Range:

- 7 - 11 years

Position Summary:

Looking to hire a Data Engineer at the G4 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 function with a specific focus on the Finance Data product and initiatives. As a Data 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 Finance data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into finance performance. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.

Who we are looking for:

Primary Responsibilities:

- Builds and maintains relevant and reliable Finance 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 engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery Finance
-related products.
- Work closely with the Product owner and help to define business rules that determines the quality of Finance datasets.
- Drive and implement best practices for pipeline development, data governance, data security and quality across Finance-related datasets.
- Ensure scalability, maintainability, and quality of data systems powering Finance analytics.
- Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving finance 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 Finance 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 Finance 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, No

SQL)
- 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
- Hands-on experience with Visualization tools like Tableau/Strategy.
- Proven ability to mentor team members and lead technical initiatives across multiple work streams
- 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 pattern:
Full time role.

Work mode:
Hybrid.