As a Data Engineer at AO Connect Solutions, you'll design and maintain data pipelines that are crucial for business analytics. This role is ideal for someone with a solid foundation in data engineering and a passion for optimizing data workflows.
At AO Connect Solutions, the Data Engineering team plays a vital role in designing and maintaining scalable data pipelines that support the company's business and analytics needs. Your day-to-day responsibilities will involve developing and managing ETL/ELT processes to integrate data from various internal and external sources. You'll also be tasked with building and maintaining data warehouses and data lakes, ensuring that they are optimized for reporting and advanced analytics.
In this role, you will need to ensure data quality, consistency, and integrity across all systems. Monitoring and troubleshooting data workflows will be a key part of your job, as well as optimizing pipeline performance. Additionally, you will implement data governance, security, and compliance best practices to protect the integrity of the data.
The ideal candidate will have 2 to 5 years of experience in data engineering or a related technical field. A solid understanding of data warehousing concepts and data modeling techniques is essential. Exposure to big data technologies like Spark, Hadoop, or Kafka is a plus, but not mandatory. This position is well-suited for someone who enjoys problem-solving and is eager to continuously improve data architecture and engineering standards.
If you are passionate about data and want to contribute to a team that values quality and innovation, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.