Description:
Looking for an Exceptional Data Engineer to Join Elite Teams! Are you a data visionary with a passion for transforming complex data into valuable insights? Do you thrive in environments where your expertise can shape data architecture, scalable pipelines, and cutting-edge solutions that drive innovation? If you are a top-tier Data Engineer who enjoys working with data, I want to hear from you!Why You Should Join My Network:
- My Clients Work on High-Impact Projects: Build the data infrastructure that powers critical decisions, supports business transformation, and influences high-stakes outcomes. Your work will shape the future of how data is used to solve real-world problems.
- Innovative Tech Stack: Leverage the latest technologies in AWS, Azure, Google Cloud, Apache Kafka, Spark, Python, SQL, and NoSQL databases. You’ll have the chance to explore and implement cutting-edge tools and methodologies, ensuring you stay ahead of the curve.
- Collaborative Excellence: Work alongside a team of industry-leading engineers, data scientists, and business experts who push the boundaries of what’s possible with data.
- Professional Growth: Take your career to the next level. We are committed to your development, providing mentorship, learning opportunities, and room for growth into senior roles or even leadership positions.
What We’re Looking For:
- Competed BSC in IT, Mathematics or a related field.
- 3+ years of working as a Data Engineer designing and building robust, scalable data pipelines. You’re proficient in Python, SQL, ETL processes, and data wrangling techniques.
- Cloud Mastery: Experience working with major cloud platforms such as AWS, Azure, or Google Cloud. You’re familiar with services like S3, Redshift, BigQuery, EMR, and Dataflow.
- Big Data Knowledge: You have hands-on experience with distributed data systems like Apache Kafka, Spark, Hadoop, or Flink. You are comfortable managing massive datasets and streamlining data processing workflows.
- Database Expertise: Whether it’s relational (PostgreSQL, MySQL) or NoSQL (Cassandra, MongoDB), you understand the nuances of selecting, optimizing, and managing databases to meet various data storage needs.
- Data Architecture Visionary: You have experience designing end-to-end data architecture, ensuring scalability, reliability, and efficiency in data pipelines, and integrating data from multiple sources seamlessly.
For more IT jobs, please visit www.networkrecruitmentinternational.com
If you have not had any response in two weeks, please consider the application unsuccessful.
For more information contact:
Samkelisiwe Makhanye
Recruitment Consultant
011 622 9526
Requirements:
- My Clients Work on High-Impact Projects: Build the data infrastructure that powers critical decisions, supports business transformation, and influences high-stakes outcomes. Your work will shape the future of how data is used to solve real-world problems.
- Innovative Tech Stack: Leverage the latest technologies in AWS, Azure, Google Cloud, Apache Kafka, Spark, Python, SQL, and NoSQL databases. You’ll have the chance to explore and implement cutting-edge tools and methodologies, ensuring you stay ahead of the curve.
- Collaborative Excellence: Work alongside a team of industry-leading engineers, data scientists, and business experts who push the boundaries of what’s possible with data.
- Professional Growth: Take your career to the next level. We are committed to your development, providing mentorship, learning opportunities, and room for growth into senior roles or even leadership positions.
- Competed BSC in IT, Mathematics or a related field.
- 3+ years of working as a Data Engineer designing and building robust, scalable data pipelines. You’re proficient in Python, SQL, ETL processes, and data wrangling techniques.
- Cloud Mastery: Experience working with major cloud platforms such as AWS, Azure, or Google Cloud. You’re familiar with services like S3, Redshift, BigQuery, EMR, and Dataflow.
- Big Data Knowledge: You have hands-on experience with distributed data systems like Apache Kafka, Spark, Hadoop, or Flink. You are comfortable managing massive datasets and streamlining data processing workflows.
- Database Expertise: Whether it’s relational (PostgreSQL, MySQL) or NoSQL (Cassandra, MongoDB), you understand the nuances of selecting, optimizing, and managing databases to meet various data storage needs.
- Data Architecture Visionary: You have experience designing end-to-end data architecture, ensuring scalability, reliability, and efficiency in data pipelines, and integrating data from multiple sources seamlessly.
14 Mar 2025;
from:
careers24.com