Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
Reference: NWA003395-BOM-1 Are you a Data Analyst looking for an opportunity in the fintech space? This visualizations, SSIS packages, and dashboards Proficient in data analysis and implementing marketing techniques and
software development space requires an experienced Data Engineer to join their team. Your main responsibility designing, developing, and maintaining data warehouses and data lake solutions for clients. Qualifications: experience in data engineering Strong data warehousing and data lake architecture experience Data Vault and SQL experience Big data experience such as Hadoop, Spark, AWS EMR Experience with data streaming technologies KPAs: Design and develop data warehousing and data lake solutions Ensure data accuracy Implement ETL processes
is looking to employ new member of the Data team as a Junior Data Scientist to help execute the credit as well as problem solving aptitude Proficient in data analysis tools (Google Big Query, SQL, Python,R) abilities Have a basic understanding of data warehouses and data structures
BIT002772-Cha-1 Our Client is looking to employ a Data Analyst to join our relatively small but highly Statistics, Computer Science, Data Analytics/Science). Proven experience as a Data Analyst or similar role role win min experience of 3 years Proficiency in data analysis tools GCP (Google Cloud Platform), Google Google Big Query, SAS, SQL, Python, R and data visualization tools Google Looker. Strong analytical and problem-solving techniques and data modelling. Knowledge Data Collection and Cleaning: Collect, extract, and compile data from
NWA003452-NBh-1 We are currently seeking a skilled Data Analyst who is proficient in SQL to join our team role in extracting, analyzing, and interpreting data to provide valuable insights that will guide business Querying databases using SQL to extract and manipulate data for analysis. Developing and maintaining SQL scripts to understand data requirements and deliver actionable insights. Participating in data quality assurance processes to ensure accuracy and reliability of data. Qualifications: Bachelor's degree in Computer Science
Reference: BIT002853-CdP-1 We are looking for a skilled Data Engineer to join our clients' investment team to to oversee their database architecture, data flow, and data processes. The role involves efficiently managing develop scalable data pipelines and ETL processes to collect, process, and integrate data from various sources sources into a centralized data warehouse or data lake. Implement data models, schemas, and database structures to organize and optimize data storage for efficient data retrieval, writing, and analysis. Collaborate
will center on designing, building, and supporting data integration solutions across diverse internal and and external systems, spanning multiple data types and network applications. Duties & Responsibilities building, and implementing data integration processes Conducting comprehensive data analysis to inform integration
insightful data analysis and innovative solutions. We are seeking a passionate Graduate/Junior Data Analyst manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation: Create
client is looking for a new member of the data team as a Senior Data Engineer to help execute the credit scoring or a related field. 4 to 5 years of experience in data engineering, database administration, or a related as MySQL, PostgreSQL, or Oracle. Experience with data warehousing and ETL tools such as Apache Airflow Airflow, Talend, or Informatica. Knowledge of data modeling, data architecture, and database design principles and big data technologies such as Hadoop, Spark, or Kafka. Knowledge of data governance, data privacy