Data Engineer
: Job Details :


Data Engineer

Insight Global

Location: Lone Tree,CO, USA

Date: 2025-01-01T07:04:12Z

Job Description:

In this role you will be contracted to build and maintain scalable data pipelines on Google Cloud Platform (GCP) to serve our cyber security data mart customers in building an asset inventory. You will work closely with cross-functional teams to ensure data integrity, reliability, and scalability. Your expertise in Google BigQuery, Google Cloud Storage, Cloud Composer, Python, and SQL will be crucial in developing effective data solution that support our security analytics and reporting efforts. What youre good at: Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, and Cloud Composer. Develop and optimize SQL queries to support data extraction, transformation, and loading (ETL) processes. Collaborate with cross-functional teams, including business customers, Subject Matter Experts, to understand data requirements and deliver effective solutions. Implement best practices for data quality, data governance and data security. Monitor and troubleshoot data pipeline issues, ensuring high availability and performance. Contribute to data architecture decisions to provide recommendations for improving the data pipeline. Stay up to date with emerging trends and technologies in cloud-based data engineering and cyber security. Exceptional communication skills, including the ability to gather relevant data and information, actively listen, dialogue freely, and verbalize ideas effectively. Ability to work in an Agile work environment to deliver incremental value to customers by managing and prioritizing tasks. Proactively lead investigation and resolution efforts when data issues are identified taking ownership to resolve them in a timely manner. Ability to interoperate and document processes and procedures for producing metrics. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Experience with other GCP Services like Dataflow, Pub/Sub, or Data Studio. Knowledge of DevOps practices and tools such as Terraform. Familiarity with data visualization tools such as Tableau, Grafana, and/or Looker. Understanding Cyber Security data tools and analysis methodologies. One or more of the following certifications preferred: CompTIA Sec+, CISM, CISSP, CRISC and / or CISA. Understanding of security control frameworks such as NIST, CIS controls, COBIT, ISO etc. Bachelors or masters degree in computer science, Information Systems, Engineering, or related field. 3 - 5 years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized location. Transforming the data with business logic in a consumable manner for visualization and data analysis. Strong expertise in Google BigQuery, Google Cloud Storage, Cloud Composer, and related Google Cloud Platform (GCP) services. Proficiency in Python and SQL for data processing and automation. Experience with ETL processes and data pipeline design. Excellent problem-solving skills and attention to detail. Strong communication and collaboration.
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