Design and architect robust ETL/data pipelines on cloud platforms. Build and automate data ingestion and preprocessing using Spark/Databricks, AWS Glue, Airflow. Implement warehousing architectures (EDW, DM, ODS, MOLAP/ROLAP), ensure SQL-based data quality, use version control, and deliver tested production pipelines while communicating with stakeholders.
This is a remote position.
Roles & Responsibilities
- 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
- 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
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