Agile Dream Team
Agile Dream Team is an innovative company that specializes in AI-driven solutions and agile software development. The company offers nearshore development teams that combine top talent with agile methodologies to deliver effective enterprise software, AI/ML engineering, and data infrastructure solutions. With a focus on several industries including FinTech, HealthTech, and eCommerce, Agile Dream Team aims to accelerate innovation and enhance operational efficiency by leveraging cutting-edge technologies such as generative AI and machine learning.
Docker • AI • Kubernetes • Devops • React.js
Data Engineer
March 13
Airflow
Amazon Redshift
Ansible
Apache
AWS
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Hadoop
Java
Kafka
Kubernetes
Neo4j
NoSQL
Pulsar
Python
Scala
Spark
SQL
Terraform
Agile Dream Team
Agile Dream Team is an innovative company that specializes in AI-driven solutions and agile software development. The company offers nearshore development teams that combine top talent with agile methodologies to deliver effective enterprise software, AI/ML engineering, and data infrastructure solutions. With a focus on several industries including FinTech, HealthTech, and eCommerce, Agile Dream Team aims to accelerate innovation and enhance operational efficiency by leveraging cutting-edge technologies such as generative AI and machine learning.
Docker • AI • Kubernetes • Devops • React.js
📋 Description
• Responsible for building and optimizing data pipelines, ensuring data quality, and enabling real-time and batch processing for analytics and AI models. • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. • Build data architectures that support batch and real-time data processing. • Automate data ingestion, transformation, and processing for AI/ML workflows. • Collaborate with Data Scientists and AI Engineers to enable data-driven AI models.
🎯 Requirements
• Proficiency in data engineering frameworks: Apache Spark, Hadoop, Airflow, DBT. • Strong knowledge of SQL, NoSQL, and data modeling techniques. • Experience in ETL/ELT pipeline development using Python, Scala, or Java. • Hands-on experience with cloud data platforms (AWS Redshift, BigQuery, Snowflake, Databricks). • Expertise in real-time streaming technologies (Apache Kafka, Kinesis, Pulsar). • Experience with data warehouse and lakehouse architectures. • Strong understanding of data partitioning, indexing, and performance tuning. • Familiarity with containerized deployments (Docker, Kubernetes) for data pipelines. • Experience in CI/CD automation for data workflows.
🏖️ Benefits
• 100% remote role with a flexible schedule. • Opportunities for growth and continuous learning in Data Engineering and AI. • Engage in high-impact data projects that power real-world AI applications. • Competitive salary
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