Data Engineer

🕒 March 31

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Creative Chaos

WebsiteLinkedInAll Job Openings

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

• We are seeking a highly skilled Data Engineer with extensive experience in Azure Data Lake to contribute to our dynamic team at Creative Chaos. The ideal candidate will be responsible for architecting, developing, and optimizing data pipelines that will facilitate the efficient processing of large datasets. • **Responsibilities:** • - Designing and implementing robust data pipeline solutions within Azure Data Lake. • - Integrating and transforming data from various sources to enable comprehensive analytics and reporting. • - Ensuring data quality and integrity, implementing data governance practices. • - Collaborating with cross-functional teams to understand data requirements and develop scalable solutions. • - Monitoring and optimizing data processing workflows for performance and reliability. • - Documenting processes and architecture to ensure maintainability and scalability. • - Staying abreast of new Azure technologies and best practices for data engineering.

🎯 Requirements

• The successful candidate will possess the following qualifications: • - Bachelor's degree in Computer Science, Information Technology, or a related field. • - A minimum of 5 years of experience working as a Data Engineer, with a strong emphasis on Azure Data Lake. • - Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics. • - Demonstrated experience with data modeling, ETL processes, and data warehousing solutions. • - Strong programming skills in Python, SQL, and familiar with Java or C#. • - Excellent problem-solving skills and a detail-oriented approach to work. • - Ability to communicate technical concepts clearly to non-technical stakeholders. • - Strong organizational skills with the ability to manage multiple priorities and meet deadlines.

🏖️ Benefits

• **Perks & benefits** • - Paid Time Off • - Work From Home • - Health Insurance • - OPD • - Training and Development