Data Architect

Role Description

• This is a remote position.
• Strong verbal/written communication & facilitation skills.
• Ability to take a requirement document, work through any ambiguity and follow through to implementation independently.
• Strong analytical and problem-solving abilities.
• Strong work ethic, sense of ownership and a team player.
• Architect and design robust ETL processes using tools like Spark, Airflow, AWS Glue etc. to desired client specifications.
• Ability to analyze the data to identify the necessary pre-processing steps for the automated ETL processes.
• Solid understanding of SQL using databases like MS SQL Server, Redshift, etc.
• Experience in Cloud Infrastructure (AWS, Azure, GCP).
• Delivering the data pipeline with Quality and automated testing.

Qualifications

• Bachelor’s degree in computer science, information technology, or a related field.
• Extensive knowledge of coding languages used to build data pipelines, such as Java, Scala, and/or Python.
• Experience with Databricks or Spark.
• Hands-on experience building data pipelines in AWS using AWS Glue, Redshift, S3 buckets and other relevant technologies.
• Proficiency in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, and EDW.
• Proven work experience as an ETL developer.
• Experience using Source Code and Version Control systems like Git etc.
• Strong project management skills.
• Ability to analyze a company’s big-picture data needs.
• Clear communication skills.
• Ability to troubleshoot and solve complex technical problems.
• Desire to continually keep up with advancements in data best practices.