AWS Data Engineer
PBT Group
Johannesburg, South Africa
4d ago
source : Executive Placements

PBT Group has an opportunity for an AWS Data Engineer, preferably with Hadoop experience.

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 Data, data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience in a Data Engineer or similar roles
  • Experience with big data tools is a must : Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools : Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services : EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems : Storm, Spark-Streaming, etc.
  • Experience with object-oriented / object function scripting languages : Python, Java, C++, Scala, etc
  • Qualifications / Certification :

  • Bachelor''''''''s Degree in Computer Science, Information Technology or other relevant fields
  • Has experience in any of the following AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Snowflake
  • Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB, EMR
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
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