Principal Data Engineer -General application

Position Overview

We are looking for an experienced Principal Data Engineer to join our growing Global Delivery Team within the Enterprise Customer Success Department. You will improve our data and data pipeline architecture and optimizing data flow and collection for associated teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support software developers, data analysts and data scientists on data projects and will ensure data delivery architecture is consistent throughout ongoing projects.

We support hybrid working schedule.

Responsibilities

Create data pipeline architecture

Assemble complex data sets that meet functional / non-functional requirements

Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability

Build the infrastructure required for extraction, transformation, and loading of data from different data sources using SQL and AWS 'big data' technologies

Build analytics tools that use the data pipeline to provide applicable insights into employee experience, operational efficiency and other main performance metrics

Work with team members to assist with data-related technical issues and support associated data infrastructure needs

Build processes supporting data transformation, data structures, metadata, dependency and workload management

Keep up to date with the latest and greatest in feature-sets and capabilities from public cloud providers (such as AWS) and find ways to apply them back help their team

Work with data scientists and analysts to work toward greater functionality in our data systems

Minimum Qualifications

5 + years of experience in Data Engineer role

Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

Strong command of English

Technical Skills

• AWS (Batch, CloudFormation, IAM, Lambda, ECS, StepFunctions)
• Terraform
• Python
• Relational databases (e.g., PostgreSQL)
• API (RESTful)
• BI Tools (QuickSight)

Preferred Qualifications

Familiarity with Agile and SCRUM methodologies

Experience working with PowerBI to develop dashboards

Analytical skills related to working with unstructured datasets

A successful history of processing value from large, disconnected datasets

Experience working with agile, globally distributed teams

Design and develop prompts for various applications, including text generation, translation, question answering, and creative writing

Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts

Analyse and iterate on performance metrics and user feedback to ensure high-quality outputs

Conduct experiments and research to test and optimize existing workflows

Stay up to date on the latest advancements in natural language processing (NLP) and AI, and apply those insights to your work

Document and communicate your work clearly and concisely to technical and non-technical audiences

You should apply even if you don't feel that your credentials 100% match the position description - we are looking for relevant skills and attributes, not a checklist of experience that exactly matches the position itself.

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