Data Engineer Job Opportunities At Woolworths - iNews24Online

2 weeks ago 55

Pebetsi Nolo Matlaila’s Turbulent Past: A Journey of Abuse and Career Setbacks

Published Date – Former Skeem Saam actress Pebetsi Nolo Matlaila has opened up about her tumultuous relationship and brief marriage to an ex-director of the popular South African soapie. In a candid interview with Sunday World, Matlaila revealed that her ex-husband’s unprofessional conduct led to his dismissal from the show, and she suspects her association with him resulted in her own axing from the series.

Matlaila claimed her marriage was marked by emotional and physical abuse, particularly during her pregnancy. She described her ex-husband as a different person behind closed doors, often resorting to violence when drunk or high. The actress recalled a harrowing incident where he smashed their bedroom door while she and her eldest daughter hid inside, and another where he threw her down the stairs while she was pregnant. The marriage, which lasted only nine months, was a mistake Matlaila deeply regrets.

Despite the setbacks, Matlaila remains focused on raising her daughters and rebuilding her life. Matlaila’s story serves as a cautionary tale about the dangers of staying in toxic relationships. She hopes her experience will help others avoid similar situations and find the strength to escape abusive partnerships.

Job Title: Data Engineer (x2)
Company: Woolworths
Location: Cape Town, South Africa
Industry: FMCG & Supply Management
Contract: Permanent
Remuneration: Market Related

Job Overview:

Woolworths is seeking talented Data Engineers to join their dynamic team in Cape Town. As a Data Engineer, you will design and implement scalable data pipelines, develop ETL processes, and collaborate with analytics teams to integrate data workflows into AI/ML models and analytics solutions.

Key Responsibilities:

Design and build data pipelines using AWS services
Develop ETL/ELT processes for large volumes of data
Optimize data processing workflows for performance, scalability, and cost efficiency
Collaborate with analytics teams to ensure high-quality data flows
Develop CI/CD pipelines for automated testing and deployment

Technical Tools:

AWS Services (Redshift, Glue, Lambda, EMR, S3, etc.)
Apache Spark
Git
Terraform
AWS CodePipeline

Minimum Requirements:

Bachelor’s degree in Computer Science, Business Informatics, Mathematics, Statistics, or Engineering
4-5 years of relevant data engineering experience in cloud-based environments
Strong proficiency in AWS services and data engineering workflows
Programming skills in Python, Scala, Java, and C++
Experience with distributed data processing frameworks and streaming data solutions

Soft Skills: