Description:
PBT Group has an opportunity for a Principal AWS Data Engineer Lead, must have experience with AWS, AWS Native, Glue ETL, Redshift, Lambda functions.
Duties:
- Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake.
- Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.
- Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
- Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.
- Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.
- 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.
- Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena
- Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency
- Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
- 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
Experience:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- 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.
- A successful history of manipulating, processing and extracting value from large disconnected data sets.
- Working knowledge of message queuing, stream processing, and highly scalable Big
08 May 2025;
from:
gumtree.co.za