détails du poste
Randstad Digital Switzerland is seeking a highly skilled and motivated Data Engineering Specialist to join our team and work on an exciting project with a prestigious international organization. This role involves enhancing and developing security metrics within a large-scale IP Analytics Platform, utilizing cutting-edge cloud technologies and agile methodologies.
Responsibilities:
Collaborate with the Information Security team to define and implement data quality assurance processes.
Identify suitable data visualization tools and create detailed visualization and presentation layers (Tableau or Amazon QuickSight).
Identify and document data structures for additional data sources and ensure ongoing data drift monitoring.
Assist Information Security experts in defining and extracting relevant features for data analysis.
Collaborate with business areas to improve the performance of central collation of big datasets.
Develop data products, including pipelines, jobs, and transformations.
Create use case diagrams, data, and process flow diagrams, and user guides.
Design and implement Security Metrics presentation/visualization dashboards with drill-down capabilities.
Ensure solution evolution in response to changing data sources and emerging technologies.
Requirements:
A first-level university degree in information security, computer science, engineering, mathematics, business, or a related discipline.
Expert knowledge and experience in developing and implementing ETL jobs for data warehouses using SQL and Python.
Strong knowledge of software development languages and tools, including SQL, Python, and Spark.
Good knowledge and experience with AWS or Azure Big Data tools (e.g., Glue, Athena, Redshift, Kinesis, Data bricks, Azure analytics, Data explorer) and cloud-based storage and functions (S3, Blob, Lambda, Azure Functions).
Expert knowledge and experience with data engineering tools and methodologies (Data warehouse, data lake, star schema).
Good knowledge and experience with AWS Cloud Formation or Terraform.
Knowledge of CI/CD concepts, particularly AWS CodePipeline, CodeBuild, CodeDeploy.
Knowledge of provisioning data APIs and information security concepts and terminology.
Excellent written and verbal communication skills, with the ability to articulate complex technical ideas to non-technical stakeholders.
Confident communicator and team player with strong organizational and interpersonal skills.
Personal drive, ownership, and accountability to meet deadlines and achieve results.
Proficient user of Git, with familiarity with Jira and Bitbucket.
Desirable:
Additional certifications such as Certified Amazon Web Services (AWS) Solutions Architect and AWS Certified Data Analytics Specialty.
Experience in the implementation of or demonstrable familiarity with the Gartner ODM framework.
Experience of working with Tableau and Amazon QuickSight would be an advantage.
Ideally, you will be working from our client’s offices in Geneva, although a hybrid working arrangement (nearshore or Switzerland) is possible.
Randstad Digital Switzerland is seeking a highly skilled and motivated Data Engineering Specialist to join our team and work on an exciting project with a prestigious international organization. This role involves enhancing and developing security metrics within a large-scale IP Analytics Platform, utilizing cutting-edge cloud technologies and agile methodologies.
Responsibilities:
Collaborate with the Information Security team to define and implement data quality assurance processes.
Identify suitable data visualization tools and create detailed visualization and presentation layers (Tableau or Amazon QuickSight).
Identify and document data structures for additional data sources and ensure ongoing data drift monitoring.
Assist Information Security experts in defining and extracting relevant features for data analysis.
Collaborate with business areas to improve the performance of central collation of big datasets.
Develop data products, including pipelines, jobs, and transformations.
Create use case diagrams, data, and process flow diagrams, and user guides.
Design and implement Security Metrics presentation/visualization dashboards with drill-down capabilities.
Ensure solution evolution in response to changing data sources and emerging technologies.
Requirements:
A first-level university degree in information security, computer science, engineering, mathematics, business, or a related discipline.
Expert knowledge and experience in developing and implementing ETL jobs for data warehouses using SQL and Python.
Strong knowledge of software development languages and tools, including SQL, Python, and Spark.
Good knowledge and experience with AWS or Azure Big Data tools (e.g., Glue, Athena, Redshift, Kinesis, Data bricks, Azure analytics, Data explorer) and cloud-based storage and functions (S3, Blob, Lambda, Azure Functions).
Expert knowledge and experience with data engineering tools and methodologies (Data warehouse, data lake, star schema).
Good knowledge and experience with AWS Cloud Formation or Terraform.
Knowledge of CI/CD concepts, particularly AWS CodePipeline, CodeBuild, CodeDeploy.
Knowledge of provisioning data APIs and information security concepts and terminology.
Excellent written and verbal communication skills, with the ability to articulate complex technical ideas to non-technical stakeholders.
Confident communicator and team player with strong organizational and interpersonal skills.
Personal drive, ownership, and accountability to meet deadlines and achieve results.
Proficient user of Git, with familiarity with Jira and Bitbucket.
Desirable:
Additional certifications such as Certified Amazon Web Services (AWS) Solutions Architect and AWS Certified Data Analytics Specialty.
Experience in the implementation of or demonstrable familiarity with the Gartner ODM framework.
Experience of working with Tableau and Amazon QuickSight would be an advantage.
Ideally, you will be working from our client’s offices in Geneva, although a hybrid working arrangement (nearshore or Switzerland) is possible.
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