Senior Data Engineer
Senior Data Engineer
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Job Description
McDonalds Global Technology Data & Analytics team is looking to hire a Senior Data Engineer who has a deep understanding of Data Product Lifecycle Standards and Practices. You will be responsible for building scalable and efficient data solutions to support the companys data products and analytics initiatives. As a Senior Data Engineer you will collaborate with data scientists analysts and other crossfunctional teams to ensure the availability reliability and performance of data systems. You will take ownership of engineering modules and act as an experienced leader of other engineers. Your expertise in cloud computing platforms technologies and data engineering best practices will play a crucial role in delivering highquality data products and enabling datadriven decisionmaking.
Responsibilities:
- Builds and maintains relevant and reliable data products that support the business needs. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability inview.
- Owns engineering modules and functionalities and supports them through a full development cycle
- Leads a backend engineering team and facilitates crossfunctional relationships to solve relevant business issues
- Participates in new software development engineering. Helps to define business rules that determines the quality of data assists the product owner in writing test scripts that validates business rules and performs detailed and rigorous testing to ensure data quality
- Develops a solid understanding of the technical details of data domains and clearly understands what business problems are being solved
- Designing and developing data pipelines and integration processes to extract transform and load data from various sources into cloudbased data storage solutions
- Implementing and maintaining scalable data architectures that support efficient data storage retrieval and processing.
- Collaborating with data scientists and analysts to understand data requirements and ensure data accuracy integrity and availability.
- Building and optimizing data integration workflows to connect data from different systems and platforms.
- Monitoring and troubleshooting data pipelines identifying and resolving performance issues and bottlenecks.
- Ensuring data security and compliance with data governance policies and regulations.
- Managing data infrastructure on cloudbased platform (i.e. GCP) including capacity planning cost optimization and resource allocation.
- Staying up to date with emerging data engineering technologies trends and best practices and evaluating their applicability to improve data systems and processes.
- Documenting data engineering processes workflows and solutions for knowledge sharing and future reference.
- Ability and flexibility to coordinate and work with teams distributed across time zones as needed. For instance early morning/late evening hours to coordinate with teams in India
Benefits eligible: Yes
Bonus eligible: Yes
Long term incentive eligible: Yes
The expected salary range for this role is $149260 $190310 per year
The above represents the expected salary range for this job requisition. Ultimately in determining your pay we may also consider your experience and other jobrelated factors.
Qualifications :
- Bachelors or Masters degree in Computer Science or related engineering field and deep experience with Google Cloud Platform (GCP) infrastructure
- 10 years of strong experience in data engineering preferably with cloudbased tech stack
- 7 years of proficiency in programming languages commonly used in data engineering such as Python.
- 5 years of handson experience with big data processing frameworks such as Apache Spark.
- 5 years of handson experience with data modeling ETL / ELT development and data integration techniques.
- Experience with RELTIO master data management and integration is a strong plus
- Working knowledge of relational and dimensional data design and modeling in a large multiplatform data environment
- Solid understanding of SQL and database concepts.
- Expert knowledge of quality functions like cleansing standardization parsing deduplication mapping hierarchy management etc.
- Expert Knowledge of data master data and metadata related standards processes and technology
- Ability to drive continuous data management quality (i.e. timeliness completeness accuracy) through defined and governed principles
- Experience in leading engineering teams in development efforts
- Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
- 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 communication and collaboration skills to work effectively in crossfunctional teams.
Preferred Requirements:
- Experience with JIRA and Confluence as part of project workflow and documentation tools is a plus
- Experience with Agile project management methods and terminology a plus
- Experience with Prometheus Grafana
Additional Information :
Benefits eligible: This position offers health and welfare benefits a 401(k) plan adoption assistance program educational assistance program flexible ways of working and time off policies (including sick leave parental leave and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonalds longterm incentive plan.
McDonalds is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feelgood moments for everyone. McDonalds provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process please contact . Reasonable accommodations will be determined on a casebycase basis.
McDonalds provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex sex stereotyping pregnancy (including pregnancy childbirth and medical conditions related to pregnancy childbirth or breastfeeding) race color religion ancestry or national origin age disability status medical condition marital status sexual orientation gender gender identity gender expression transgender status protected military or veteran status citizenship status genetic information or any other characteristic protected by federal state or local laws. This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
