Company Overview:
Kezan Consulting is a leading firm in the Human Resources Services industry specializing in providing innovative HR solutions to a diverse range of clients. We are committed to leveraging cuttingedge technology and advanced methodologies to deliver exceptional results to our partners.
Role and Responsibilities:
As a Data Engineer AWS at Kezan Consulting you will be responsible for developing constructing testing and maintaining data architectures and solutions. You will play a pivotal role in building and optimizing data pipelines data structures and metadata to support and enhance business processes data modeling and data analytics.
- Design build and manage data pipelines for data structures encompassing data transformation data models schemas metadata and workload management
- Develop bespoke ETL solutions and ensure their seamless integration with existing systems
- Collaborate with data science teams to refine and optimize data science and machine learning models and algorithms
- Utilize programming skills in Python Spark and SQL to handle and process large datasets
- Implement and maintain AWS services such as AWS Lambda Glue Step Function and CloudFormation
- Utilize MS SQL Server for data modeling TSQL and managing business data and reporting
Candidate Qualifications:
The ideal candidate should possess an advanced degree in computer science (MS) information science (MIS) data management information systems information science (postgraduate diploma or similar) or a related quantitative field. Alternatively equivalent work experience will also be considered.
Required Skills:- Advanced programming skills in Python Spark and SQL
- Handson experience in AWS Lambda Glue Step Function and CloudFormation
- Proficiency in building bespoke ETL solutions
- Expertise in MS SQL Server for data modeling TSQL and managing business data and reporting
- Ability to design build and manage data pipelines for data structures
With a profound understanding of data engineering AWS services and analytical capabilities we are seeking a dynamic professional to join our team and contribute to our datadriven initiatives. The selected candidate will have the opportunity to work in a collaborative environment and make a significant impact on our organizations data management and analytics strategies.
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