Reference: ITE006121-MBa-1 Are you a seasoned Data Engineer ready to take on a new challenge? Our client experienced Senior Data Engineer to join their dynamic team. If you have a passion for data, a strong technical scalable data pipelines and systems. Collaborate with cross-functional teams to understand data requirements solutions. Optimize data workflows for maximum efficiency and reliability. Implement data governance and security ensure data integrity and compliance. Provide technical leadership and mentorship to junior data engineers
Reference: BIT003122-Sam-1 Calling passionate Data Engineers As a specialist recruitment consultant within I are constantly on the lookout for accomplished Data Engineers with strong academics, robust project experience Strong proficiency in SQL and NoSQL databases, data warehousing solutions, and ETL tools Hands-on experience big data technologies (Hadoop, Spark) Knowledge of data management and governance practices, data quality quality assurance, and data security Apply now to join my database For more IT jobs, please visit www.
client is seeking a highly skilled and experienced Data Scientist to join their dynamic team. This is a industry. Key Responsibilities: Develop and maintain data models for BI and analytics solutions. Code in SQL Python on Palantir Foundry. Assemble large, complex data sets to meet business requirements and advanced to ingest and process structured and unstructured data from various source systems into analytical platforms cross-functional international team to design and implement data-driven workflow solutions. Requirements: Hands-on
proven experience in data warehousing projects and a strong understanding of data modelling concepts and experience as a business analyst Experience in a data warehousing or business intelligence environment their knowledge KPA's: Requirement analysis Data Modelling Data profiling and analysis Documentation Quality
machine learning models for predictive analysis and data mining Collaborate with cross-functional teams to and prioritize AI development requirements Conduct data analysis and perform statistical modeling Stay up-to-date learning algorithms and techniques Experience with data analysis and statistical modeling Knowledge of AI
Analytical mindset with the ability to interpret data and make data-driven decisions. Strong problem-solving
performance improvements Create Scripts and procedures for data migration and offer timely scheduled reporting APPLY
TypeScript, jQuery, Node.js, Vue.js. Knowledge of PCI Data Security Standard, Docker, Git, SQL, CSS, HTML,
with third-party APIs and services for seamless data exchange and functionality. Optimize application
and/or Postgres. Experience working with JSON and XML data formats. Familiarity with unit and integration testing