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Hyderabad, India
Live, first seen by us 30 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Define data models and build efficient data ingestion processes for reporting
Build automated dashboards and reports with business intelligence tools
Identify and validate data sources and fold in stakeholder feedback
Document requirements for new security reporting
Determine key risk indicators and build the tools for data harvesting
defining data models, and building out efficient data ingestion processes for reporting
automated dashboards and reports
identifying and validating data sources input from stakeholders and incorporating feedback in the development of risk-based metrics
documenting requirements for new reporting
Enable design and deployment of the mechanisms and tools for data harvesting and determine key risk indicators
Overview The cybersecurity Data Eng Sr Engineer is a role within the PepsiCo cybersecurity organization to assist in the development and sustainment of the security metrics program. The candidate will contribute to the development and maturity of the security metrics program including people, process and technology. They will support PepsiCo’s security agenda by providing risk based insights for varied global audiences ranging from operational leaders to PepsiCo’s Board of Directors through data and dashboard development. Responsibilities The candidate will: Contribute to the development and implementation of the security metrics program Be responsible for maintaining internal stakeholder and data provider relationships Be responsible for ensuring complete, accurate, and timely reporting of analytics and insights to stakeholders Be responsible for documenting requirements for new reporting, including recommending and implementing business intelligence capabilities, centralized data collection and archival, and automated dashboards and reports Be responsible for defining data models, and building out efficient data ingestion processes for reporting Be responsible for identifying and validating data sources input from stakeholders and incorporating feedback in the development of risk-based metrics Contribute to the identification and effective communication of information security risks identified by data mining a single source or aggregating multiple data sources Be responsible for defining, implementing, and monitoring best practices and processes for the security metrics program Enable design and deployment of the mechanisms and tools for data harvesting and determine key risk indicators Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, or related discipline 8+ years of experience in SQL Server, or similar relational database methodologies 8+ years of experience writing ETL or similar data ingestion methods 6+ years of experience in Azure cloud services such as Azure Data Factory, ADLS etc… 6+ years of experience in Data Bricks and DBSQL Strong experience in the collection and aggregation of various data sources for reporting and archiving of statistical data Strong experience and proven leadership in developing, reporting, and communicating analytic results Strong communication and relationship building skills Working knowledge of information security industry frameworks (e.g. ISO, NIST, COBIT) Experience with identifying, analyzing, and reporting on value-added key risk indicators and key performance indicators related to information security, cybersecurity or broader IT Candidate must have strong analytical skills to determine how a system should work and how changes in conditions, operations, and the environment will affect outcomes Candidate must be able to understand information security risks and determine ways to identify measures that will accurately reflect the current degree of risk Knowledgeable in the Information Security domain Candidate must be able to identify measures or indicators of data quality and the actions needed to improve or correct performance, relative to the goals of the system
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Day 30
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From 10,824 similar postings that came down. Coming down is not always a hire.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Hyderabad, India
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