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Sun Life Financial, Inc.

Sr Cloud Data Engineer

Posted 3 Days Ago
Remote
Senior level
Remote
Senior level
The Sr Cloud Data Engineer will lead data integration initiatives, collaborate with various stakeholders to ensure data alignment, and develop data management standards. Responsibilities include creating and reviewing data deliverables and developing and managing data pipelines and warehouse technologies.
The summary above was generated by AI

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Accountabilities:

  • Demonstrate lead level capabilities in conceptual analysis, problem solving, and data analysis. Demonstrate ability to take ownership or initiatives or projects with the ability to lead and facilitate business requirements and harness data to meet the requirements.
  • Must be able to collaborate with subject matter experts, business analysts, data analysts and other data stakeholders for data integration and alignment.
  • Provides support in the use of enterprise data, including guidance in understanding and exploitation of the underlying data and business models, and identifying optimal data sourcing and mapping.
  • Assists in developing and publishing data management standards, policies and procedures, including the management and maintenance of related tools and environments.
  • Create and review standard data deliverables, ensuring adherence to defined corporate standards and definitions.
  • Demonstrate ability to understand, produce, and extend large and complex data models for operational and dimensional reporting data stores.
  • Experience coordinating information requirements of multiple departments, including assessment of usefulness, reliability and cleanliness of data from several sources.
  • Ability to effectively present complex technical information to non-technical audiences and to senior decision-makers

Qualifications

  • 8-10 years of experience in established data technologies viz. Data ingestion, ETL, and data warehouse, CDC and Event Streaming technologies.
  • Strong hands on experience in AWS cloud services for data management and governance.
  • Develop pipelines to ingest data from different sources such as Database, delimited files etc, do complex transformation and loading data into the S3.
  • develop Glue mapping and create Glue data catalogue.
  • Hands on experience in design and implementation of data pipelines, ETL and data warehouse technologies following industry standards.
  • Experienced or conversant in emerging tools like parquet or iceberg and unstructured data. Must understand them sufficiently to guide the organization in understanding and adopting them
  • Strong communication skills with ability to work with business and Technology stakeholders
  • Utilizes team collaboration to create innovative solutions efficiently
  • Comfortable working with quick turnaround times and deadlines B.E/B.Tech/BCA/MCA from a reputed organization

Job Category:

Human Resources

Posting End Date:

27/02/2025

Top Skills

AWS

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