Senior Data Engineer

🕒 March 31

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Logo of Creative Chaos

Creative Chaos

201 - 500 employees

Founded 2000

🤝 B2B

☁️ SaaS

⚡ Productivity

B2B • SaaS • Productivity

Creative Chaos is an innovation delivery agency that partners with businesses of all sizes to develop and bring products to market. They focus on creating user-centered experiences and translating consumer insights into innovative products. They offer services such as team augmentation, MVP (Minimum Viable Product) development, and DevOps and cloud solutions to help businesses innovate, develop, and deliver products efficiently. Creative Chaos acts as an extension to their clients' teams, providing support and expertise throughout the product development process.

📋 Description

• Design and develop scalable and reliable data pipelines, ensuring high availability and performance. • Construct intricate data sets that align with functional and non-functional business requirements. • Identify, plan, and implement internal process enhancements, such as automation of manual processes, data delivery optimization, and infrastructure redesign for improved scalability. • Implement best practices for data storage, processing, and retrieval. • Collaborate with stakeholders including executives, data scientists, and product managers to understand data requirements and implement data solutions. • Optimize and tune data workflows to achieve optimal performance and efficiency. • Maintain data security and compliance with data privacy regulations. • Stay up-to-date with emerging technologies and industry trends in data engineering and analytics. • Mentor and guide more junior data engineers in the team.

🎯 Requirements

• Bachelor's or Master's degree in computer science, engineering, or a related field. • Minimum of 7 years of industry experience as a data engineer or in a similar role. • Strong programming skills in languages such as Python, Scala, or Java. • Experience in designing and implementing data pipelines using tools like Apache Kafka, Apache Spark, or AWS Glue. • Proficiency in SQL and database technologies like PostgreSQL, MySQL, or MongoDB. • Knowledge of cloud platforms such as Azure. • Experience with data modeling, ETL processes, and data warehousing concepts. • Strong problem-solving and troubleshooting skills. • Excellent communication and collaboration abilities. • Ability to work effectively in cross-functional teams. • Detail-oriented and proactive mindset.

🏖️ Benefits

• Paid Time Off • Work From Home • Health Insurance • OPD • Training and Development • Life Insurance

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