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AWS Cloud Data Specialist

1 week ago

Johannesburg, Gauteng, South Africa Network Recruitment Full time

**Job Description:**

We are seeking a highly skilled AWS Cloud Data Specialist to join our team at Network Recruitment. As a Cloud Data Specialist, you will be responsible for designing and implementing large-scale data solutions on the AWS cloud platform.

In this role, you will lead the design, implementation, and successful delivery of complex data pipelines using your expertise in SQL, ETL, and data modeling. You will work closely with cross-functional teams to deliver actionable and digestible data content that supports business decisions.

You will have extensive experience in SDLC delivery, including waterfall, hybrid, and Agile methodologies. Additionally, you will have strong understanding of data modeling, data structures, databases, and ETL processes.

Responsibilities:

  • Design and create data models that can extract information from various sources and store it in a usable format.
  • Lead the design, implementation, and successful delivery of large-scale, complex data solutions.
  • Utilize expertise in SQL, ETL, and data modeling to create robust data pipelines.
  • Ingest data into AWS S3 and perform ETL into RDS or Redshift.
  • Use AWS Lambda (C# or Python) for event-driven data transformations.
  • Design and implement security measures to protect data from unauthorized access or misuse.
  • Ensure data integrity by designing backup and recovery procedures.
  • Automate the migration process in AWS from development to production.
  • Deliver actionable and digestible data content to support business decisions.

Qualifications and Competencies:

  • Experience with AWS Glue Jobs using PySpark or AWS Glue Spark.
  • Strong SQL and C# or Python programming skills.
  • Expert knowledge of data engineering packages and libraries in C# or Python.
  • AWS technical certifications (Developer Associate or Solutions Architect).
  • Experience with the development and delivery of microservices using serverless AWS services (S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM).
  • Ability to articulate technical and non-technical requirements to different audiences.
  • Experience with RDBMS databases such as Postgres, SQL Server, and MySQL.
  • Proficiency in scripting and automation using tools like PowerShell, Python, Bash, Ruby, Perl, etc.