Description

You will design and organize complex data product solutions within a large data ecosystem, ensuring integrated data classification and governance rules.

Responsibilities

• Build and design complex data product solutions that maximize usability and align with established blueprints.
• Maintain data design documentation, functional test cases, data lineage, and data catalog artifacts throughout the release lifecycle.
• Analyze business requirements to assess high-level design impacts, business value, and level of effort.
• Create solution prototypes and research data warehouse databases to answer business-critical questions.
• Develop and maintain strategic relationships between business partners and IT development teams.

Required Skills

• Bachelor's degree and 8+ years of relevant work experience.
• Experience with ETL designs and managing large data ecosystems.
• Proficiency in SQL, HQL, and Bteq Scripts.
• Hands-on experience with Hadoop, Spark, Hive, and Kafka.
• Experience with Teradata and BigQuery.
• Working knowledge of AWS and GCP cloud architecture.
• Familiarity with Kubernetes and containerized applications.
• Experience with Unix shell scripting and AWK programming.
• Strong stakeholder management and cross-team collaboration skills.

Preferred Skills

• Experience using Erwin for enterprise data modeling.
• Proficiency in Python for data manipulation using Pandas and NumPy.
• Experience with Informatica or Ab Initio for complex ETL design.

Key Skills

Education

Bachelor's Degree