Senior Stockbroking Operations profile sought to join a successful team. Great opportunity to work closely with the Chief Operating Officer of this team in an exciting phase. Ideal candidate is someone with a data analyst or business analyst background within stockbroking or investments and is passi
department to help develop the strategy for long term Big Data platform architecture Document and effectively Engineering, High Performance Computing, Data Warehousing, Big Data Processing Strong Experience working with various Kubernetes, Hadoop, Kafka, Nifi or Spark or Cloud-based big data processing environments like Amazon Redshift BigQuery and Azure Synapse Analytics Experience of Big Data technologies such as Hadoop, Spark and Hive Julia, T-SQL, PowerShell Experience working with Big Data Cloud based (AWS, Azure etc) technologies is
platforms (preferably Azure), programming skills, and big data technologies, is essential. PLEASE NOTE: This processing systems. Implement best practices for big data processing, storage, and analysis. Develop and technologies, preferably Azure. Strong knowledge of big data processing, storage, and analysis technologies
as Python, R, SQL, etc.
atics or Engineering with proficiency in Google Big Query, SQL, Python & R. You must also have a analysis. Proficient in Data Analysis tools (Google Big Query, SQL, Python, R). Strong numerical / coding
designing and building scalable ETL systems for a big data warehouse to implement robust and trustworthy operations
designing and building scalable ETL systems for a big data warehouse to implement robust & trustworthy knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Technical
Analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, R and data visualization Utilize the technologies of SQL, SAS, Python and Big Query, while staying up-to-date with latest trends Analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, R and data visualization
aptitude Proficient in data analysis tools (Google Big Query, SQL, Python,R) General Be able to confidently
analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, Rand data visualization Utilizing the technologies of SQL, SAS, Python and Big Query, while staying up-to-date with latest trends