Data Engineer

We Are Setting the Pace

Clickatell is a world-class Chat Commerce company, ambitious to stay ahead of its competitors. We build our own culture in which we dream big and stay busy doing the right things. We need champions who understand the bigger picture, believe in making a difference and are able to connect the dots to achieve success. In our agile and demanding environment, you will be required to collaborate, ask the right questions and take the smart risk.

We call ourselves Champions. Why Champions? Because it's not only about what we have done, but what we are doing and going to do. The way we do things, matter and influences how we drive our organization forward and deliver solutions to our customers. Watch this space as we blaze a new path while expanding across the globe.

Purpose

As a Senior Data Engineer, you will be joining our cross-functional data team, and supporting the design, build and testing of high-performance, scalable and multi-event level data solutions. You will work with structured, semi structured and unstructured data. You will play a critical role on the strengthen of our analytical presence in the Chat Commerce market.

We Do The Right Things

Responsibilities of the Role

Data Pipeline Management:

• Design, build, and maintain scalable data pipelines for data collection, storage, and processing (using AWS Services would be plus) while maintaining data integrity through rigorous testing and validation. Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.
  
  

Collaboration:

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality. Actively participate in solution design and modelling to ensure data products are developed according to best practices, standards, and architectural principles.
  
  

ETL/ELT Processes:

• Develop and manage ETL (Extract, Transform, Load) processes to convert raw data into usable formats.
  
  

Data Governance:

• Ensure data compliance and security, maintaining high standards for data integrity and privacy.
  
  

Performance Monitoring:

• Monitor and optimize the performance of data systems, identifying and implementing improvements. Monitor and troubleshoot data platform issues, providing timely resolutions
  
  

AI/ML:

Build and maintain Clickatell AI and Machine Learning pipelines, ensuring seamless integration with existing data infrastructure. Develop and deploy large language models (LLMs) to improve natural language processing (NLP) capabilities and automating data-driven insights will be plus.

Innovation:

• Identify opportunities for improvement of existing ETL processes to enhance data integrity and accuracy
  
  

Mentorship:

• Oversee and mentor junior data engineers, ensuring alignment with business objectives and best practices.
  
  

Team Player:

• Self-directed and dedicated team player who positively engages with the team to solve.
• Protect Clickatell's information, intellectual property, and corporate data systems in accordance with prescribed guidelines.
• Work in a scrum-based team that is passionate about enabling a data culture throughout the organization
  
  

We Are On A Learning Journey

Requirements of the Role

• Bachelor's degree in computer science, Engineering, or a related field.
  
  

Work Experience

• Experience: At least 3+ years of experience in data engineering, with a strong background in building and maintaining ETL /ELT processes and data pipelines and 2+ years of experience working in Cloud environments (AWS or Azure)
• Technical Skills: Proficiency in SQL, Python, PySpark and big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure and streaming technologies such as Kafka, Kinesis. Proficiency in AWS services (e.g. S3, Redshift, Dynamo DB, Aurora DB, EMR, Glue) would be great.
• AI/ML Skills: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and AI model deployment. Experience with generative AI models and techniques would be a plus.
• Soft Skills: Effective communication skills, both verbal and written, to effectively collaborate with cross-functional teams and present findings to non-technical stakeholders.
• Analytical Skills: Ability to analyse complex data sets and derive actionable insights.
• CI/CD Skills: Experience working with DevOps tools such as GitLabs, Jenkins, CodeBuild, CoePipeline, CodeDeploy, etc.
• Nice to have –Experience in working with large language models (LLMs) for NLP tasks, including model fine-tuning and deployment
  
  

Knowledge and Abilities

• Strong analytical and problem-solving skills.
• Self-disciplined, eager to help, and most importantly a thirst for continual learning
• Build on our coaching culture, you are someone who will not only be willing, but also passionate about assisting colleagues.
• A passion for working with data and a desire to learn and adapt to new technologies.
• Ability to make a difference and lasting impact
  
  

A Bit About You

You are a pacesetter, who is strong in execution and comfortable in a fast-paced environment and working across multiple projects simultaneously. You set the priorities to deliver practical solutions for opportunities and change. You achieve results though maximizing resources and leading the way to the best solutions. You build and invest in relationships and influentially engage across teams, and with specialists, to brainstorm and arrive at the right answers. You develop, finetune and manage processes and coach the team on procedures and adopt new techniques. You are incredibly independent and a self-starter with a microscopic attention to detail. You take the initiative by being resourceful and proactive.

Why You Should Join

Perks of the Role

• Medical Aid contribution
• Pension fund contribution
• Quarterly performance incentive bonus
• Risk benefit company contributions
• Reimbursable communications allowance for internet and mobile phone bills
• Half-day off on your birthday
• 5 personal days leave a year, over and above your annual leave
• Remote working and access to office hubs as required.
• Home office set-up with laptop, monitor and other related items.