Ascentech Services Ltd acts as a gateway to provide a wide range of recruitment and selection services to companies. We are a dedicated team of professional consultants offering top-of-the-line executive recruitment and selection services. We cater for the needs of a range of professionals seeking employment and work together to create effective solutions using our networks and strong client base.
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Create and maintain optimal data pipeline architecture.
Analyze and organize raw data.
Build data systems and pipelines to evaluate business needs and objectives and Interpret trends and patterns.
Prepare data for prescriptive and predictive modeling.
Build algorithms and prototypes to Assemble large, complex data sets that meet functional / nonfunctional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with datarelated technical issues and support their data infrastructure needs.
Collaborate with data scientists and architects on several projects to strive for greater functionality in our data systems
Requirements
Degree in Computer Science, IT, or a similar field; a Master’s is a plus,
Data engineering certification is a plus
Technical expertise in data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Strong analytic skills related to working with unstructured datasets
Hands-on experience with SQL database design
Great numerical and analytical skills
Minimum 3-5 years as a data engineer or in a similar role
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