Data Engineer III

McDonald's; Hyderabad; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

McDonald’s India is hiring a Data Engineer III to build scalable finance data solutions and support FP&A, reporting, and forecasting. You will collaborate with data scientists, analysts, and cross-functional teams to ensure reliable finance data systems and governance while delivering analytics-ready datasets.

The role emphasizes cloud-based data engineering on GCP with a focus on finance products, data quality, and scalability. Hybrid/onsite work in Hyderabad may apply.

Qualifications

• Bachelor’s or master’s degree in computer science or related engineering field with deep cloud experience on GCP (BigQuery, GCS, Pub/Sub, Dataflow, Dataproc, Cloud Composer).
• 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 (Airflow/Cloud Composer, Luigi) and distributed processing (Spark/Dataflow).
• Expert knowledge of data quality functions like cleansing, standardization, parsing, de-duplication, mapping, and hierarchy management in finance data.
• Ability to perform extensive data analysis across datasets using various tools.
• Proven ability to mentor team members and lead cross-stream initiatives.
• Strong communication and stakeholder management to drive data engineering standards.
• Experience in data management & data governance capabilities.
• Familiarity with data warehousing principles (BigQuery partitioning/clustering, cost/performance optimization).
• Excellent problem solving using data and technology to answer complex questions.

Responsibilities

• Builds and maintains finance data products supporting financial reporting, FP&A, and decision analytics.
• Leads data engineering initiatives supporting planning, forecasting, and variance analytics.
• Designs and operates batch and streaming pipelines on GCP to deliver curated finance datasets.
• Defines business rules for data quality and lineage with finance stakeholders.
• Drives best practices for pipeline development, data governance, and security across finance datasets.
• Ensures scalability and quality of data systems powering revenue/expense reporting and consolidation inputs.
• Keeps up-to-date with emerging data engineering technologies and practices.
• Documents data engineering workflows, lineage, and solutions for knowledge sharing.
• Mentors junior data engineers in financial data modeling and governance.

Skills

Data Engineering

Python

Java

Scala

SQL

NoSQL

Kafka

Data Orchestration

Apache Airflow

Confluent

API

Rest API

API Management

GCP

AWS

Education

Bachelor’s or master’s degree in computer science or related engineering field

Tools

BigQuery

Cloud Storage

Pub/Sub

Dataflow

Dataproc

Cloud Composer

Airflow

Kafka

Confluent

API Management

REST API

IAM/Secret Manager/Cloud KMS

Job description

Job Description:

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.

Department Overview

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.

Duties

Looking to hire a Data Engineer at the G4 level who has a deep understanding of Finance Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support Finance Analytics and reporting with a specific focus on finance data products and initiatives (e.g., P&L, revenue, cost, margin, and forecasting data).

As a Data Engineer, you will collaborate with data scientists, analysts, and other cross functional teams to ensure the availability, reliability, and performance of finance data systems. Lead initiatives to enable trusted financial data, supports decision-making, and partners with Finance, and Technology teams to deliver scalable data solutions that drive insights into financial performance, variance drivers, profitability, and forecast accuracy. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.

Primary Responsibilities:

• Builds and maintains relevant and reliable finance data products that support financial reporting, FP&A, and decision analytics. Develops and implements new technology solutions needed to ensure ongoing improvement with data reliability and observability in view.
• Participates in new software development engineering and leads data engineering initiatives supporting planning, forecasting, and variance analytics, ensuring timely and accurate delivery of finance analytics and datasets.
• Design, build, and operate batch and streaming pipelines on GCP using services such as Cloud Storage (GCS), Pub/Sub, Dataflow, Dataproc, and Cloud Composer (Airflow) to deliver curated finance datasets and analytics-ready data products.
• Work closely with Finance product owners and business partners to define business rules that determine the quality of financial datasets (e.g., chart of accounts mappings, cost center hierarchies, fiscal calendar, allocations).
• Drive and implement best practices for pipeline development, data governance, data security, and quality across finance datasets; ensure controls and auditability aligned to internal policies.
• Ensure scalability, maintainability, and quality of data systems powering revenue and expense reporting, close and consolidation inputs, and management reporting 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, data lineage, and solutions for knowledge sharing and future reference.
• Mentor and coach junior data engineers, particularly in areas related to financial data modeling, governance, and analytics enablement.
• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.

Qualifications

Skills Required: Data Engineer, Data Engineering, Python, NoSQL, SQL, Kafka, Data Orchestration, Apache Airflow, Confluent, API, Rest API, API Management, GCP, AWS

• Lead 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 on GCP (e.g., BigQuery, Cloud Storage/GCS, Pub/Sub, Dataflow, Dataproc, Cloud Composer) and core platform services (IAM, Secret Manager, Cloud KMS, Logging/Monitoring)
• 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 / Cloud Composer, Luigi) and distributed processing frameworks (e.g., Spark on Dataproc, Dataflow) data ecosystems and platforms (e.g., BigQuery, Hadoop, Spark, NoSQL, Kafka/Pub/Sub)
• Expert knowledge of data quality functions like cleansing, standardization, parsing, de duplication, mapping, hierarchy management, etc., ideally applied to finance master and reference data (e.g., chart of accounts, cost centers).
• 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 (e.g., dimensional modeling, BigQuery partitioning/clustering, cost/performance optimization).
• 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.

McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.