Description

Design, build, and operationalize large-scale enterprise data warehouse solutions.

Responsibilities

• Design and build data pipelines from ingestion to consumption within big data architectures.
• Architect enterprise data solutions including data warehouses, data marts, data lakes, and data lakehouses.
• Implement data security protocols such as tokenization, encryption, and masking.
• Apply data architecture design patterns to meet business requirements.
• Lead pre-sales activities through technical presentations and solution recommendations.

Required Skills

• 8+ years of hands-on experience in enterprise data warehouse design and operation.
• Proficiency in Java, Python, or Scala for building data pipelines.
• Experience with Big Data technologies including Hadoop, Hive, Spark, and Databricks.
• Deep knowledge of data modeling including 3NF, Data Vault, dimensional models, and NoSQL.
• Practical experience with data lakehouse, data lake, and data mart architectures.
• Expertise in ETL, data analysis, and data modeling/architecture.
• Hands-on experience with Master & Metadata Management, Data Governance, and Data Lineage.
• Strong skills in performance tuning, data quality assurance, and BI/DW infrastructure.

Preferred Skills

• Any graduate degree.

Key Skills

Education

Any graduate