Job Description

Role Title:Sr. Security Data Engineer Position Summary: Marriott Internationals Global Information Security is seeking an experienced Data Engineer who can design, build, and maintain the infrastructure and systems that collect, process, and store large amounts of security data for Marriott to use for security related analysis and decision-making. Job Responsibilities:

• Design, implement, and maintain scalable data pipelines using tools such as Cribl Stream and Splunk
• Develop ETL (Extract, Transform, Load) processes
• Ensure data quality and implement validation checks
• Automate data workflows and processes
• Work with distributed computing frameworks (e.g., Hadoop, Spark)
• Implement solutions for processing large-scale datasets
• Utilize cloud platforms (AWS, Azure) for data management
• Optimize data retrieval and query performance
• Build integrations with various data sources
• Develop and maintain APIs for data access
• Ensure compatibility between different systems and platforms
• Implement data security controls and access management
• Maintain data integrity and reliability
• Work closely with security data scientists, analysts, and business stakeholders
• Translate business requirements into technical specifications
• Document data architectures and processes
• Monitor and troubleshoot data system performance
• Implement optimizations for efficiency and scalability
• Ensure high availability of data resources

Skill and Experience:

• 4+ years of data engineering, data analytics, data management, and/or information security experience that includes:
• 4+ years of experience in data engineering and / or data analytics in an enterprise environment
• 1+ years of experience in information protection / information security.
• Strong background in statistics, mathematics, and software engineering.
• Proficiency in Python, R, Java, or Scala
• Strong knowledge of SQL
• Expertise in relational databases (e.g., MySQL, PostgreSQL)
• Experience with NoSQL databases (e.g., MongoDB, Cassandra)
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data frameworks such as Hadoop, Spark, and Kafka
• Experience with ETL (Extract, Transform, Load) processes
• Proficiency in data pipeline development and optimization
• Knowledge of cybersecurity principles, tools, and best practices
• Preferred:
• Programming languages: Python, R, SQL
• Big data technologies: Hadoop, Spark, and Kafka
• Cloud platforms: AWS, Azure, GCP
• Ability to design and optimize data models and schemas
• Understanding of data warehousing, data lake, and data lakehouse concepts
• Relevant certifications such as AWS Certified Data Analytics Specialty, Google Cloud Professional Data Engineer, or IBM Certified Data Engineer
• Experience with Security information and event management (SIEM) systems such as Splunk
• Experience with data pipeline management and data transformation tools such as Cribl
• Familiarity with MLOps practice
• Understanding of machine learning algorithms and AI applications in data engineering
• Verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
• Experience working in Agile and Scrum methodologies.

Education and Certifications:

• Bachelors degree in computer science, software engineering, information technology, data science, or a related field or equivalent experience/certification.

Work location: Hyderabad, India. Work mode: Hybrid

Marriott Tech Accelerator