Senior Security Data Engineer

Role Summary About Us: Marriott International Inc., headquartered in Bethesda, Maryland, USA, was founded in May 1927 by J. Willard Marriott and Alice S. Marriott with a modest nine-seat A&W root beer stand. Guided by the family's leadership and core principles, Marriott International today has grown into a global hospitality giant, operating approximately 9,000 properties and over 30 leading brands in more than 140 countries and territories. From such humble beginnings to becoming the world's largest hotel company, Marriott International has never stopped searching for inventive ways to serve its customers, provide opportunities for its associates, and grow their business. At Marriott Tech Accelerator center (MTA), Hyderabad, India, Marriott is exploring the world we live in and all its possibilities. At Marriott Tech Accelerator, we are a team of passionate engineering minds dedicated to creating and building cutting-edge solutions that streamline operations and elevate guest experiences. Marriott Tech Accelerator center is fully owned and operated by ANSR. All associates at Marriott Tech Accelerator will be ANSR employees, delivering services exclusively to ANSR's client, Marriott International. To know more about us, please visit Marriott Tech Accelerator careers page. Marriott's core values: At Marriott, our core values make us who we are. We believe that success is never final. As we change and grow, the beliefs that are most important to us stay the same—putting people first, pursuing excellence, embracing change, acting with integrity, and serving our world. Being part of Marriott Tech Accelerator means being part of a proud history and a thriving culture. Job Description Role Title: Sr. Security Data Engineer Position Summary: Marriott International's 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.

Marriott International Inc., headquartered in Bethesda, Maryland, USA, was founded in May 1927 by J. Willard Marriott and Alice S. Marriott with a modest nine-seat A&W root beer stand. Guided by the family's leadership and core principles, Marriott International today has grown into a global hospitality giant, operating approximately 9,000 properties and over 30 leading brands in more than 140 countries and territories.