Data Solutions Architect

1 week ago

Cape Town, Western Cape, South Africa Network Recruitment Full time
Data Engineer Job Description

As a Data Engineer at Network Recruitment, you will play a pivotal role in expanding and optimizing our clients' data architecture and data pipeline systems. You will work with cutting-edge technology to build efficient data solutions that support cross-functional teams, improve processes, and unlock powerful insights for the business.

Key Responsibilities:
  • Data Architecture & Pipeline Optimization: Design and optimize data pipelines and architectures that handle large datasets and support multiple business services and teams.
  • Cross-Functional Collaboration: Work closely with cross-functional teams to ensure data flows seamlessly, empowering teams with the information they need to make data-driven decisions.
  • Big Data & Cloud Solutions: Build and optimize data solutions for big data environments, including cloud-based architectures and platforms.
  • Root Cause Analysis & Process Improvement: Perform root cause analysis to identify issues with data and processes, providing solutions to optimize systems and improve data accuracy.
  • Data Transformation & Metadata Management: Build processes supporting data transformation, metadata management, and workload management, ensuring the scalability and reliability of data systems.
  • Platform Operations: Oversee operational aspects of data platforms, including monitoring, alerts management, and capacity planning.
  • Leadership & Mentorship: Lead and mentor team members while supporting ongoing development and operational needs.
Requirements:
  • 3+ years of experience in developing data solutions, including design, coding, testing, deploying, and supporting applications.
  • A Degree in Computer Science, Applied Mathematics, Physics, Statistics, or a related field, or equivalent experience in data engineering or data science.
  • Proficiency in SQL & Python, with experience working with relational databases and writing complex queries.
  • Expertise in building and optimizing big data pipelines and architectures.
  • Solid understanding of data application architecture and experience with business process modeling.
  • Ability to perform root cause analysis on data and processes to uncover business opportunities and areas for improvement.
  • Hands-on experience in manipulating and processing large datasets from disparate sources.
  • Familiarity with message queuing, stream processing, and scalable data stores in a big data environment.
  • Strong project management skills with a proven ability to prioritize and manage complex tasks.
  • Previous experience supporting cross-functional teams and mentoring/leading data teams.
  • Experience in Fintech data is a plus, but not required.
Estimated Salary:

$120,000 - $180,000 per year.

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