Open Positions

Data Engineer:

Designing and implementing scalable data architectures on cloud platforms like AWS or GCP, ensuring efficient data storage, retrieval, and processing.
Building and managing data pipelines to extract, transform, and load (ETL) large volumes of data from various sources into data lakes or warehouses.    
Collaborating with cross-functional teams to understand data requirements and develop robust data solutions that meet business needs.
Utilizing cloud services such as AWS Glue, GCP Dataflow, or Cloud Composer to orchestrate and automate data workflows.
Implementing data governance and security measures, ensuring compliance with regulations like GDPR or HIPAA, and monitoring data quality and integrity.
Optimizing data infrastructure and performance by fine-tuning queries, partitioning data, or implementing caching mechanisms.
Developing and maintaining data monitoring and alerting systems to proactively identify and resolve data-related issues.
Collaborating with DevOps teams to deploy and manage data systems in a scalable, reliable, and secure manner using technologies like Docker or Kubernetes.
Implementing infrastructure-as-code practices to automate the provisioning and configuration of data infrastructure resources using tools like Terraform or CloudFormation.
Staying updated with the latest trends and advancements in cloud technologies, data engineering practices, and DevOps methodologies to drive continuous improvement in data pipelines and infrastructure.