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Direct Client Requirement
Job Title: Data Engineer
Job Location: Lone Tree, CO
Duration: 6 months Contract
Job Description:
In this role you will be contracted to build and maintain scalable data pipelines on Google Cloud Platform (Google Cloud Platform) to serve our cyber security data mart customers. 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 you re 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.
Additional Job Details:
Must Have
Bachelor s or master s degree in computer science, Information Systems, Engineering, or related field.
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 (Google Cloud Platform) 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.
Nice to Have
Experience with other Google Cloud Platform 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.
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Full Time
Business Services
$117k-144k (estimate)
06/19/2024
08/18/2024
mindlance.com
KING OF PRUSSIA, PA
1,000 - 3,000
1999
Private
$50M - $200M
Business Services
Mindlance is a provider of technical staffing, product engineering and direct sourcing solutions for enterprises.
The job skills required for Data Engineer include SQL, Python, Data Engineering, Computer Science, Analysis, Agile, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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