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описание
R_351120
Marsh is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. The company helps clients build confidence through the power of perspective.
задачи
Support the design, development, and maintenance of data pipelines, data products, and infrastructure;
Build and maintain ETL processes to integrate data from various sources into the Data Lakehouse;
Develop and maintain dashboards and reports using Power BI;
Support the setup and maintenance of AWS cloud infrastructure, including S3, Glue, Lambda, and Step Functions;
Monitor and ensure the accuracy, completeness, and reliability of data products through validation using dbt;
Use Git for codebase management and collaboration;
Collaborate with data analysts, data scientists, and cross-functional teams to understand data requirements and deliver solutions;
Create and maintain technical documentation for data workflows, processes, and systems;
Write complex SQL queries for data extraction, manipulation, and transformation;
Perform data integration using ETL processes to consolidate data from multiple sources into a unified format;
Use Python for data manipulation, analysis, and automation.
требования
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field;
3–5 Years of experience in data engineering or a related field;
Proficiency in SQL for data manipulation and querying;
Experience with Power BI for data visualisation and dashboard creation;
Experience with Python for data processing and scripting;
Familiarity with AWS services, including S3, Glue, Lambda, Step Functions, LakeFormation, CloudWatch, and IAM;
Excellent problem-solving abilities and attention to detail;
Strong communication and interpersonal skills;
Ability to work effectively in a team and independently;
Nice to have: data warehousing concepts and technologies, Tableau or Looker, data modelling techniques, Hadoop or Spark, modern data architecture such as Data Mesh or Fabric, infrastructure as code such as Terraform, CI/CD pipelines, Git, Dremio or Databricks.
условия
Professional development opportunities;
Interesting work and supportive leaders;
Vibrant and inclusive culture;
Career opportunities, benefits, and rewards to enhance well-being.
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