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The Principal Data Engineer will be responsible for designing and implementing cloud-based data solutions using a range of AWS services. This role involves working closely with clients to define requirements, build custom solutions, and transfer knowledge to client technical teams. The ideal candidate is passionate about problem-solving, thrives in greenfield project environments, and enjoys working both independently and collaboratively.
Key Responsibilities as a Principal Data Engineer
* Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion.
* Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams.
* Design and implement ETL/ELT pipelines for cloud data warehouse solutions.
* Build and maintain data dictionaries and metadata management systems.
* Analyze and cleanse data using a range of tools and techniques.
* Manage and process structured and semi-structured data formats such as JSON, XML, CSV, and Parquet.
* Operate effectively in Linux and cloud-based environments.
* Support CI/CD processes and adopt infrastructure-as-code principles.
* Contribute to a collaborative, knowledge-sharing team culture.
Required Qualifications & Skills
* Strong experience in ETL processes and cloud data warehouse patterns.
* Hands-on expertise with AWS services (S3, Glue, Redshift).
* Proficiency with Matillion for data transformation.
* Experience working with various relational databases.
* Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense.
* Ability to create well-documented, scalable, and reusable data solutions.
* Experience with big data technologies such as Hadoop, MapReduce, or Spark.
* Exposure to microservice-based data APIs.
* Familiarity with data solutions in other public cloud platforms.
* AWS certifications (e.g., Solutions Architect Associate, Big Data Specialty).
* Experience or interest in Machine Learning and AI-driven data solutions.
* Public sector experience is preferential
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Technology, Information and Media
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