We are looking for data engineers to build and monitor high-quality data
infrastructure to analyze data.

Job Description: 

• Write clean, scalable and testable code to be run
• Assemble large, complex data sets that meet functional/non-functional business requirements
• Build the infrastructure required for optimal ETL (Pentaho, Glue, Airflow) of data
  from a wide variety of data sources using SQL and big data technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights for analytics and data scientist team members.
• Monitor performance and continuously improve the infrastructure

Requirements:

• Excellent analytical and problem-solving skills.
• Follow industry best practices
• The technical know-how of at least one programming stack - ideally Java or Python
• Showcase expertise in data warehousing, relational database architectures (SQL, MySql, Postresql), and Redshift, BigQuery
• Have working knowledge in cloud-based deployments in AWS, Azure or GCP
• Understand Machine Learning, NLP, Algorithms, etc.
• Be comfortable working with Linux and Shell
• Streaming data into Elastic search for visualization using Kibana
• Exposure to Serverless computing
• Should be able to thrive in a fast-paced, quickly evolving, tech start-up
  environment
• You should have 4 to 8 years of experience.