AWS Data Engineer

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in Johannesburg, Gauteng
In-Office or Remote
Mid level
Information Technology
The Role
The AWS Data Engineer will design and maintain data infrastructure using AWS, develop scalable data pipelines, and ensure data integrity and quality.
Summary Generated by Built In

AWS DATA ENGINEER – CONTRACT

Job Title: AWS Data Engineer

Location: [JHB/Hybrid] ***MUST BE LOCAL IN SOUTH AFRICA

Job Type: [Full-Time /Contract]

Job Description: We are seeking a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with specific expertise in AWS technologies. You will be responsible for designing, developing, and maintaining our data infrastructure, ensuring efficient data processing and storage solutions.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using AWS services.
  • Write efficient and maintainable Python and PySpark code for data processing.
  • Implement and manage ETL processes using AWS Glue.
  • Develop and optimize SQL queries for data extraction and transformation.
  • Utilize AWS Athena for querying and analyzing large datasets.
  • Work with AWS Redshift for data warehousing solutions.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality and integrity across various data sources.
  • Monitor and troubleshoot data pipeline issues to ensure smooth operations.
  • Stay updated with the latest industry trends and best practices in data engineering and AWS technologies.

Required Qualifications:

  • Must be strong in MDM knowledge: Experience with building or integrating MDM systems — e.g., designing golden records, matching/merging, data mastering, data stewardship workflows
  • Python: Proficient in writing Python code for data processing and automation.
  • Spark: Strong understanding of Apache Spark and experience with PySpark.
  • AWS Data Stack: Glue, S3, Lambda, Redshift, Athena, Step Functions
  • SQL: Advanced skills in SQL, with the ability to write complex queries.
  • AWS Athena: Experience with AWS Athena for querying large datasets.
  • Redshift: Familiarity with AWS Redshift, including data warehousing concepts and usage.
  • Data Warehousing: Solid understanding of data warehousing principles and best practices.

Preferred Qualifications:

  • Experience with other AWS services such as S3, Lambda, and CloudFormation.
  • Knowledge of data modeling and schema design.
  • Familiarity with data governance and security best practices.
  • Experience with version control systems like Git.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Education and Experience:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 4+ years of experience in data engineering or a related role.


Top Skills

AWS
Aws Athena
Aws Glue
Aws Redshift
Pyspark
Python
SQL
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The Company
9 Employees
Year Founded: 2017

What We Do

We are an IT consulting company specializing in data engineering, data science & advanced analytics, cloud computing consulting services and data pipeline automation. We were established in 2017, headquartered in South Africa and have over 100 professionals on board. Our main differentiation is a flexible approach to constantly changing business requirements and needs. Our highly qualified engineers and data scientists provide insightful expertise which help us deliver real added-value to our clients.

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