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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate end-to-end data pipelines on Omnissa's Enterprise Data Lakehouse using Databricks, AWS, and related technologies.
Develop and maintain interactive dashboards and reports for business and technical stakeholders using Tableau/Superset.
Implement data governance, quality, and metadata management practices; contribute to AI/GenAI initiatives by preparing data foundations for advanced use cases.
Minimum Requirements
2–5 years of experience in Data Engineering & Analytics.
Proficiency in SQL and Python; hands-on experience with Databricks including Unity Catalog, Delta Live Tables, Workflows, and Apache Spark.
Experience with AWS data stack (S3, Glue, Athena, EMR), Apache Airflow, federated query engines like Starburst/Trino/AWS Athena, and CI/CD using GitHub Actions.
Dashboarding experience in Tableau, Superset, or PowerBI.
Ideal Candidate Profile
Demonstrated ability to translate complex business questions into scalable, secure data engineering solutions on modern Data Lakehouse platforms.
Experience working with large datasets and advanced table formats such as Apache Iceberg or Delta Lake, optimizing for cost and performance.
Interest and some exposure to AI/GenAI concepts including data preparation for RAG, agentic frameworks, and AI-assisted development tools.