Cloud Data Architect
6 days ago
About The ENTERTAINER
The ENTERTAINER is a pioneering digital company that delivers exceptional value to consumers through its global incentive offers. Our data-driven approach enables us to create unforgettable experiences for our customers, partners, and employees.
Data Engineer Job Description
In this highly sought-after role, you will play a crucial part in building and maintaining our cutting-edge data platform. You will collaborate with various data sources, design robust data pipelines, and ensure high-quality data accessibility for analytics and business intelligence initiatives.
Key Responsibilities
Create scalable and reliable data pipelines using Databricks, Azure Data Factory, and related Azure services to ingest, process, transform, and load data from diverse sources.
Develop and optimize data models and warehouses in Azure Synapse Analytics to ensure performance, scalability, and data integrity for analytical workloads.
Implement data quality checks, monitoring, and alerting systems to guarantee data accuracy, completeness, and reliability across the data platform.
Write complex and efficient SQL queries for data extraction, transformation, and analysis in Databricks (Spark SQL), Azure Synapse (T-SQL) and MySQL environments.
Collaborate with data analysts, other engineers, Product and departments to understand data requirements, provide data solutions, and support data-driven initiatives.
Optimize data pipelines and Synapse workloads for performance and cost-efficiency.
Implement data security and governance best practices within the data platform.
Document data pipelines, data models, and ETL processes clearly and comprehensively.
Stay up-to-date with the latest technologies and best practices in data engineering, Databricks, Azure Synapse, and cloud data platforms.
Troubleshoot and resolve data pipeline and data quality issues.
Contribute to the continuous improvement of our data platform architecture and infrastructure.
Requirements
- Bachelor's degree in computer science, Data Science, Engineering, or a related field.
- 4+ years of experience as a Data Engineer or similar role.
- Expertise in SQL and demonstrated ability to write complex, optimized queries (SQL, T-SQL, Spark SQL, or similar).
- Strong hands-on experience with Databricks, including Spark programming (Python, Scala, or Java), Delta Lake, and Databricks Workflows/Jobs.
- Proven experience with Azure Synapse Analytics, including data warehousing, data modelling, and performance tuning.
- Experience with Azure Data Factory or similar ETL/Data Orchestration tools.
- Solid understanding of data warehousing concepts, data modelling principles (e.g., star schema, snowflake schema), and ETL/ELT methodologies.
- Experience working with cloud environments, particularly Microsoft Azure.
- Proficiency in at least one programming language such as Python or Scala.
- Experience with version control systems (e.g., Git).
- Strong problem-solving and analytical skills with a data-driven approach.
- Excellent communication, collaboration, and documentation skills.
What We Offer
- Competitive salary and benefits package.
- Opportunity to work with an innovative company.
- A chance to contribute to the success of a well-known UAE brand.
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