Job Description

Tailored Job Description – Azure Data Engineer

Data Modelling & Architecture

Strong understanding of semantic models used in enterprise reporting and analytics.
Expertise in dimensional modelling, including star and snowflake schema design.
Practical experience implementing Slowly Changing Dimensions (SCD) Type 1 and Type 2.
Ability to translate business requirements into scalable data models.

Advanced Spark SQL

Proficiency in Spark SQL, including complex joins, aggregations, and transformations.
Strong command over window functions, ranking functions, and analytical queries.
Ability to troubleshoot performance issues and optimize Spark SQL queries.

PySpark Development

Working knowledge of PySpark for data ingestion, transformation, and workflow orchestration.
Ability to write and understand basic pyspark functions
Basic understanding of Spark architecture, including executors, partitions, and caching.

Data Engineering Skills

Experience building ETL/ELT pipelines using Azure Databricks and load to Synapse.
Familiarity with Delta Lake, data versioning, and ACID transactions.

Independence & Collaboration

Ability to work independently with minimal oversight.
Strong communication skills to collaborate with cross-functional teams and business stakeholders.
Proactive in identifying issues and proposing data-driven solutions.

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