Senior Data Engineer

Roles & Responsibilities

• Spearhead the solution design, development, and delivery of data solutions using AWS core data services, driving innovation in Data Engineering, Governance, Integration, and Virtualization.
• Oversee all technical aspects of data systems, ensuring end-to-end delivery from proof-of-concept (PoC) to production deployment.
• Continuously enhance the data platform delivery efficiency to improve performance, resiliency, scalability, and security while incorporating new data technologies and methodologies.
• Work closely with business partners, data architects, and cross-functional teams to translate complex business requirements into technical solutions.
• Develop and implement data management strategies, including Data Lakehouse, Data Warehousing, Master Data Management, and Advanced Analytics solutions.
• Combine technical solutioning with hands-on work as needed, actively contributing to the architecture, coding, and deployment of critical data systems.
• Ensure system health by monitoring platform performance, identifying potential issues, and taking preventive or corrective measures as needed.
• Be accountable for the accuracy, consistency, and overall quality of the data used in various applications and analytical processes.
• Advocate for the use of best practices in data engineering, governance, and AWS cloud technologies, advising on the latest tools and standards.

Requirements

• 5+ years of hands-on experience in developing and delivering data solutions, with a strong background in cloud services (mainly AWS).
• Proven experience designing and implementing AWS data services (such as S3, Redshift, Athena, Glue, etc.) and a solid understanding of data service design patterns.
• Expertise in building large-scale data platforms, including Data Lakehouse, Data Warehouse, Master Data Management, and Advanced Analytics systems.
• Ability to effectively communicate complex technical solutions to both technical and non-technical stakeholders.
• Experience working with multi-disciplinary teams and aligning data strategies with business objectives.
• Demonstrated experience managing multiple projects in a high-pressure environment, ensuring timely and high-quality delivery.
• Strong problem-solving skills, with the ability to make data-driven decisions and approach challenges methodically.
• Proficiency in data solution coding, ensuring access and integration for analytical and decision-making processes.
• Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situations.

Good to have

• Experience within the Insurance domain is an added advantage.
• Solid understanding of data governance frameworks and Master Data Management principles.

Roles & Responsibilities

• Spearhead the solution design, development, and delivery of data solutions using AWS core data services, driving innovation in Data Engineering, Governance, Integration, and Virtualization.
• Oversee all technical aspects of data systems, ensuring end-to-end delivery from proof-of-concept (PoC) to production deployment.
• Continuously enhance the data platform delivery efficiency to improve performance, resiliency, scalability, and security while incorporating new data technologies and methodologies.
• Work closely with business partners, data architects, and cross-functional teams to translate complex business requirements into technical solutions.
• Develop and implement data management strategies, including Data Lakehouse, Data Warehousing, Master Data Management, and Advanced Analytics solutions.
• Combine technical solutioning with hands-on work as needed, actively contributing to the architecture, coding, and deployment of critical data systems.
• Ensure system health by monitoring platform performance, identifying potential issues, and taking preventive or corrective measures as needed.
• Be accountable for the accuracy, consistency, and overall quality of the data used in various applications and analytical processes.
• Advocate for the use of best practices in data engineering, governance, and AWS cloud technologies, advising on the latest tools and standards.

Requirements

• 5+ years of hands-on experience in developing and delivering data solutions, with a strong background in cloud services (mainly AWS).
• Proven experience designing and implementing AWS data services (such as S3, Redshift, Athena, Glue, etc.) and a solid understanding of data service design patterns.
• Expertise in building large-scale data platforms, including Data Lakehouse, Data Warehouse, Master Data Management, and Advanced Analytics systems.
• Ability to effectively communicate complex technical solutions to both technical and non-technical stakeholders.
• Experience working with multi-disciplinary teams and aligning data strategies with business objectives.
• Demonstrated experience managing multiple projects in a high-pressure environment, ensuring timely and high-quality delivery.
• Strong problem-solving skills, with the ability to make data-driven decisions and approach challenges methodically.
• Proficiency in data solution coding, ensuring access and integration for analytical and decision-making processes.
• Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situations.

Good to have

• Experience within the Insurance domain is an added advantage.
• Solid understanding of data governance frameworks and Master Data Management principles.