REQUIRED SKILLS & QUALIFICATIONS
TECHNICAL SKILLS:
Cloud & Data Lake: Azure Data Lake (ADLS Gen2), Databricks, Delta Lake, Iceberg
Reporting tools: PowerBI, Tableau or similar toolset
Streaming & Messaging: Confluent Kafka, Apache Flink, Azure Event Hubs
Big Data Processing: Apache Spark, Databricks, Flink SQL, Delta Live Tables
Programming: Python (PySpark, Pandas), SQL
Storage & Formats: Parquet, Avro, ORC, JSON
Data Modeling: Dimensional modeling, Data Vault, Lakehouse architecture
MINIMUM QUALIFICATIONS
8 + years of end-to-end design and architecture of enterprise level data platform and reporting/analytical solutions.
5+ years of expertise in real-time and batch reporting, analytical solution architecture.
4+ years of experience with PowerBI, Tableau or similar technology solutions
3+ years of experience with design and architecture with big data solution.
3+ years of hands-on experience in enterprise level streaming data solution with Python, Kafka/Flink and Iceberg.
ADDITIONAL QUALIFICATIONS
8 + years of experience with Dimensional modeling and data lake design methodologies.
8+ years of experience with Relational and Non-relational databases (e.g. SQL Server, Cosmos, etc.)
3 + years of experience with readiness, provisioning, security, and best practices with Azure data platform and orchestration with Data Factory.
Experience with working with business stakeholders, requirements & use case analysis.
Strong communication and collaboration skills with creative problem-solving skills.
PREFERRED QUALIFICATIONS
Bachelors degree in computer science or equivalent work experience.
Experience with Agile/Scrum methodology.
Experience with tax and accounting domain a plus.
Azure Data Engineer certification a plus.

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