At Data2Bots, we build secure and scalable data solutions in the cloud, helping businesses make informed decisions off their data. Our solutions are driven towards identifying organizational data challenges, designing strategies to address them while keeping your business’s needs top of mind without disrupting your business activities. Our consultants have a broad knowledge in building data pipelines, deploying data infrastructure and developing solutions for businesses across industries. With hands-on experience in problem-solving, our experts can help your business grow by reviewing your existing data infrastructure and providing advice for improvement.
PROFILE
- A bachelor’s degree in computer science, an engineering discipline or other related courses
- At least 4 years of professional IT industry experience excluding internship and freelance
- At least 4 years of software engineering experience
- At least 2 years of cloud computing experience, most preferably Azure.
TECHNICAL SKILLS
- Proficiency in ETL development using Python, SQL and Data Factory.
- Hands-on experience with Python data processing frameworks such as PySpark or Pandas.
- Good Knowledge of Software Development Standards and best practices such as Test Driven Development (TDD), Keep it simple, stupid (KISS), you aren't gonna need it (YAGNI), and don't repeat yourself (DRY).
- Hands-on experience with DevOps, CI/CD and Infrastructure as Code.
- Knowledge of Data Warehousing Concepts and Data Warehouse Modeling.
- Experience working with at least one Cloud Data Warehouse Solution such as Azure Synapse.
- Experience with data flow orchestration tools such as Azure Logic Apps is an advantage.
- Experience with distributed computing and container orchestration (Kubernetes) is an advantage.
- Experience with data streaming solutions such as Kafka is an advantage.
- Experience with Microservices and Event-Driven architecture is an advantage.
SOFT SKILLS
- Good understanding of Agile Methodology and Scrum Rituals.
- Ability to work independently, think proactively and pay attention to details.
- Seeing through a data engineering project from conception to finished product.
- Able to adapt to a fast-paced technical environment.
- Energetic, motivated and team player.
- Excellent communication skills in English – both written and spoken.
- Ability to communicate effectively with cross-functional teams and business stakeholders.
Method of Application
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