Design, develop, and optimize enterprise data virtualization solutions using Denodo
Build scalable Hadoop-based data pipelines to support analytics, reporting, and operational data delivery
Enable organization to deliver trusted, real-time, and governed data products to business partners and downstream applications

Requirements

Bachelor Degree and 4 years Information Technology OR Technical Certification and/or College Courses and 6 year Information Technology experience OR 8 years Information Technology experience.
Knowledge of application configuration
Knowledge of Big Data Analytics - HADOOP/ Autonomy /Denodo
Proactive ownership and a passion for building scalable data solutions.
Design, develop, and deploy Denodo VDP views, data models, and data services.
Build and maintain Hadoop ETL/ELT pipelines using Hive, Spark, HDFS, Sqoop, or similar.
Experience using batch schedulers like Control M
Optimize distributed data processes for performance and reliability.
Manage data ingestion from structured, semi structured, and unstructured sources.
Create reusable data assets for analytics and downstream applications.
Create and optimize derived views, base views, and custom wrappers.
Configure data governance, caching, security, and performance tuning within Denodo.
Integrate Denodo with enterprise systems (RDBMS, REST APIs, cloud data platforms, etc.).
Support business consumers with metadata, documentation, and troubleshooting.
Strong communication and problem-solving abilities.
Ability to work in a fast-paced, cross-functional product environment.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data virtualizationHadoopETLELTDenodoHiveSparkHDFSSqoopdata modeling

Soft Skills

proactive ownershipcommunicationproblem-solvingcollaborationadaptability

Certifications

Bachelor DegreeTechnical Certification