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Creative Chaos is an integrated technology innovation firm that specializes in building MVPs for startups and Fortune 500 companies. Our mission is to help startups and enterprises bring their ideas to life.
We believe that innovation can only be delivered through ruthless commitment, grit, and resolve of the team.
Our process is driven by a proven MVP Development Framework and powered by passionate people who are committed to delivery and excellence.
We specialize in building web applications, mobile apps and IOT solutions.
Key Facts:
• Established in 2000
• Headquartered in Boston
• Global Delivery Network with offices in Europe, Middle East, South East, and Far East Asia
• 300+ full-time associates globally
• Specialize in product innovation and agile development
• 400+ successful projects across multiple industry verticals
• Focus on full life-cycle technology implementation and solutions
• Diverse technology expertise
Develop and maintain efficient data pipeline architecture.
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.
Establish the necessary infrastructure for efficient data extraction, transformation, and loading from diverse data sources using SQL and AWS 'big data' technologies.
Design analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other crucial business performance metrics.
Collaborate with stakeholders including Executives, Product Managers, Data and Design teams to address data-related technical challenges and fulfill data infrastructure needs.
Maintain data security and separation across national boundaries, encompassing multiple data centers and AWS regions.
Develop data tools for the analytics and data science teams, assisting them in optimizing our product's position as an innovative industry leader.
Collaborate with data and analytics experts to enhance functionality within our data systems.
Communicate with clients to elucidate task requirements.
Conceptualize and create infrastructure to facilitate access and analysis of big data.
Refine existing frameworks to enhance their functionality.
Test and validate structures to ensure their suitability.
Prepare raw data for manipulation by data scientists.
Detect and rectify errors in work.
Ensure that work remains backed up and accessible.
Stay current with industry standards and technological advancements that enhance the quality of outputs.
Requirements
Bachelor's degree in data engineering, big data analytics, computer engineering, or a related field.
5 years of proven experience as a data engineer, software developer, or in a similar role.
Proficiency in Python, C++, Java, R, and SQL.
Familiarity with Hadoop or equivalent technologies.
Strong analytical and problem-solving skills.
Ability to work independently and collaboratively.
Detail-oriented and conscientious approach to tasks.
Capacity to manage a pipeline of responsibilities with minimal supervision.
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.