Data Engineer Sr
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Monthly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
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Job Summary
Description
Qualifications
Key Responsibilities
- As a data engineer you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the creation evaluation implementation and maintenance.
- Partner with Stakeholders: Work closely with business partners and peers to understand business challenges gather requirements and facilitate seamless data integration.
- Build Data Solutions: Design develop and maintain robust data pipelines and modeling solutions that support business objectives and drive performance improvements.
- Analytics Execution: Lead all phases of analytics initiatives including exploratory data analysis preprocessing model development and deployment.
- Data Synthesis & Insights: Analyze and synthesize data from multiple structured and unstructured sources to uncover trends assess business impact and recommend actionable improvements.
- Relationship Management: Foster strong working relationships across Chubbs business IT and analytics teams to ensure alignment and effective collaboration.
- Communication: Present findings and recommendations to stakeholders in clear concise written oral and presentation formats.
Requirements
- Intellectually curious out-of-the-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems
- SQL & Database Expertise: Advanced SQL skills and strong understanding of database architectures and data extraction techniques.
- Data Modeling & Governance: Proven experience in data modeling and data governance ensuring data quality and compliance.
- Data Operations: Experience in setting up and maintaining data extraction collection cleansing and organization processes.
- Emerging Technologies: Hands-on experience with modern data platforms such as Azure Synapse Databricks and Snowflake.
- Adaptability & Problem Solving: Ability to multi-task learn quickly solve complex problems and stay current with industry trends
- Proficient in both written and spoken English and Spanish at an advanced level.
Experience
- 8 years of progressive experience in data engineering product development and/or data governance.
- Bachelors Degree in Computer Science Computer Engineering Electrical Engineering Mathematics or equivalent field. Bachelors degree in an analytical field such as statistics operations research economics computer science preferred (graduate degree is a plus).
- Strong interpersonal negotiation and communication skills; ability to communicate effectively across the full spectrum of internal stakeholders and customers.
Qualifications
Key Responsibilities
- As a data engineer you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the creation evaluation implementation and maintenance.
- Partner with Stakeholders: Work closely with business partners and peers to understand business challenges gather requirements and facilitate seamless data integration.
- Build Data Solutions: Design develop and maintain robust data pipelines and modeling solutions that support business objectives and drive performance improvements.
- Analytics Execution: Lead all phases of analytics initiatives including exploratory data analysis preprocessing model development and deployment.
- Data Synthesis & Insights: Analyze and synthesize data from multiple structured and unstructured sources to uncover trends assess business impact and recommend actionable improvements.
- Relationship Management: Foster strong working relationships across Chubbs business IT and analytics teams to ensure alignment and effective collaboration.
- Communication: Present findings and recommendations to stakeholders in clear concise written oral and presentation formats.
Requirements
- Intellectually curious out-of-the-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems
- SQL & Database Expertise: Advanced SQL skills and strong understanding of database architectures and data extraction techniques.
- Data Modeling & Governance: Proven experience in data modeling and data governance ensuring data quality and compliance.
- Data Operations: Experience in setting up and maintaining data extraction collection cleansing and organization processes.
- Emerging Technologies: Hands-on experience with modern data platforms such as Azure Synapse Databricks and Snowflake.
- Adaptability & Problem Solving: Ability to multi-task learn quickly solve complex problems and stay current with industry trends
- Proficient in both written and spoken English and Spanish at an advanced level.
Experience
- 8 years of progressive experience in data engineering product development and/or data governance.
- Bachelors Degree in Computer Science Computer Engineering Electrical Engineering Mathematics or equivalent field. Bachelors degree in an analytical field such as statistics operations research economics computer science preferred (graduate degree is a plus).
- Strong interpersonal negotiation and communication skills; ability to communicate effectively across the full spectrum of internal stakeholders and customers.
Required Experience:
Senior IC
About Company
Chubb Life has been in Egypt since 2003. Chubb Life is the international life insurance division of Chubb - the world's largest publicly traded property and casualty insurance company by market capitalization.
