to new heights. We're looking for highly skilled Data Analysts with experience in financial services, Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and specifications that specify data sources, data flows, data transformations, data storage and reporting Produce documentation such as source-to-target-maps, data dictionaries and data models Create test cases and scenarios and business stakeholders to identify data sources, find data definitions for master and metadata as
insurance space is on the lookout for a AWS Data Cloud Engineer (big Data Engineer)Â
Knowledge
practices regarding system security measures
implement, and optimize Big Data Pipelines using AWS services.
- Ensure data integrity, security, and
- Conduct thorough testing and validation of data solutions.
- Stay updated with industry trends
/>- Experience with Docker, Linux/Unix, and Big Data technologies.
- Excellent communication and
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If you're ready to shape the future of data engineering and make an impact, apply now! Exciting
We require a Data Engineer and this is an office based postion. Modifying the database structure, as performance of the database. Maintaining archived data. Contacting database vendor for technical support schema changes and implementations. Implement advanced database security features. Audit user activity policies, and procedures for data management. Define and implement alerts on data. Develop reports and ETL and procedures. Data warehousing. Will be responsible for developing ETL packages and data warehousing,
Responsibilities:
Data Analysis and Modelling:
reliable, on-time, efficient & high-quality data analytics solutions and professional services that processes, procedures and statuary, legal and other requirements Relevant BSc, BCom, BEng (Essential/Minimum) Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming skills • Knowledge of statistical modelling and data mining techniques i.e. Regression, • Random Forest
Required Qualifications:
Who are looking for: A Master data lead
What will you do:
As team, the Master data lead is responsible for the management and maintenance of master data according to WSNP,) ensuring the quality and integrity of the data, guaranteeing that it is accurate, complete and
Requirements
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems developing, testing, and deploying data solutions that meet the business requirements Collaborate with all stakeholders stakeholders to ensure data quality, reliability, accessibility, security and governance Design, develop technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts