Our client who is a leader in the Financial Services space has an exciting opportunity for a Senior AWS Data Engineer. Minimum Qualifications Bachelor`s Degree in Computer Science, Information Technology, or other relevant fields. Has experience in any of the following AWS Athena, AWS Glue, Pyspark, AWS DynamoDB, AWS Redshift, AWS Lambda and AWS Step Functions. Proficient in SQL, Python and PySpark Proficient in utilizing a cloud platform and services Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, devops and operations. Additional Experience A successful history of manipulating, processing and extracting value from large, disconnected data sets. Experience supporting and working with cross-functional teams in a dynamic environment. Experience in a Data Engineering roles. Experience with the following is a must: AWS Glue, PySpark, SQL Experience with data pipeline and workflow management tools like AWS StepFunctions and Control-M would be beneficial but not required. Experience with AWS cloud services: EC2, EMR, RDS, DynamoDB would be beneficial but not required. Experience Advanced Data Engineering knowledge and experience working with modern data practices. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience working with distributed systems as it pertains to data storage and computing. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, meta data, dependency, and workload management. Proficiency in SQL with expertise in writing and optimizing complex queries Responsibilities Design and implement large scale enterprise data solutions by using a combination of the of the following technologies – AWS Glue, AWS Step-functions, AWS RedShift, AWS Lambda, AWS Athena, AWS Lakeformation, Spark, Python. Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS and 3rd party services. Design and build production data pipelines from ingestion to integration within a big data architecture, using PySpark, Python and SQL. Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency. Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Senior Aws Data Engineer position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-03-03 in the It Computing Software category

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