
Data Analytics Infrastructure Manager
7 days ago
We are seeking a highly skilled Data Engineer to join our team and help us build innovative data solutions. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems.
Your primary focus will be on turning raw data into trustworthy analytical datasets that decrease time to market towards insights and reduce the cost of data consumption. You will manage these datasets and related data pipelines as a product with all the responsibilities that come with it.
You will contribute to the data product roadmap, prioritizing tasks on a quarterly basis to fuel the overall company roadmap and initiatives with analytics. Additionally, you will fit our data products with the overall data architecture, governance, standards, and guidelines.
Main Responsibilities:
- Design and develop scalable data pipelines using Hadoop, Scala, Spark, Kafka, SQL, Flink, Cassandra, ELK.
- Build and maintain cloud-based data solutions using AWS technologies (IAM, S3, Glue, EMR, EKS, Sagemaker).
- Work with cross-functional teams to ensure seamless integration and data exchange.
- Stay up-to-date with new evolutions in data technologies and implement them in our solutions.
- Meet high standards for data ingestion, processing, and storage.
What We're Looking For:
- + years of experience in a Data Engineering role.
- Master or bachelor's degree in Computer Science (or equivalent through experience).
- Proven experience in existing and upcoming data technologies.
- Strong knowledge of cloud-based data solutions and containerization.
- Excellent communication and problem-solving skills.
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