Cloud Data Engineer

• We are looking for a skilled Cloud Data Engineer with strong experience in Azure-based data platforms, particularly Azure Data Factory, Databricks and Python. The ideal candidate will design, build, and optimize scalable data pipelines and data solutions to support analytics and business intelligence needs. Experience with Teradata ETL development is a strong plus.

Day to Day job Duties: (what this person will do on a daily/weekly basis)

• As a Cloud Data Engineer in the Service Delivery Tier 1 Support & Development team, you will be responsible for designing, developing, and maintaining robust data pipelines using Azure Data Factory (ADF). Build and optimize data processing workflows using Azure Databricks (PySpark/Scala).
• Develop scalable data architectures in Azure (Data Lake, Synapse, etc.)
• Develop and maintain data solutions using Python for data transformation and automation.
• Perform data ingestion, transformation, and integration from various sources (structured/unstructured)
• Ensure data quality, integrity, and governance across pipelines
• Optimize performance and cost of data processing solutions
• Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions
• Implement monitoring, logging, and alerting data pipelines
• Support CI/CD processes and deployment automation for data workflows
• Monitoring and responding to the issues or failures in the Cloud Data Engineering processes for data processing and loading. Data loading and processing occur as either API, Streaming or Batch processing. These data processes are critical to retain data freshness and continuity across a large Microsoft Azure EDL. The Microsoft Azure data sources are critical for business reporting, critical business decisions and revenue generating operational processes.
• Be a part of a cross-North America Cloud Data Engineering Delivery team that will partner together making a difference every day for the largest global rental car company.
• Having foundational skills and experience in a data warehouse star schema with ETL concepts. Previous SQL knowledge and experience with a large EDL environment.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

• Must have 8 - 10 years' experience in Cloud Data Engineering Development & support roles preferably in Microsoft Azure Data Warehouse.
• Must have Cloud Data Engineering Support experience working with large datasets and complex data environments, processes, and associated solutions.
• Knowledge and experience with data warehouse star schema and ETL concepts
• Proficiency in SQL and data modeling concepts
• 8-10 years' experience with Databricks (workflows and jobs orchestrations), Py Spark, Python, Data factory, Delta Optimization techniques, SQL, transformations, Databricks Cluster
• Knowledge of Streaming Support with Event Hub, Cosmos DB, Scala, Azure SQL DB and Azure App Insights, key vaults, Azure Functions and logic apps, Azure AAD + key vaults, spark SQL, pandas etc.
• Knowledge of automated and scheduled batch job tools such as IBM IWS and Control-M.
• Knowledge of data governance and unity catalog.
• Knowledge of performance tuning and optimization techniques
• Familiarity with version control tools (e.g., Git)
• Knowledge Service now, incident management, ticket handling, change management, on call roaster management, etc.
• Must have good oral and written communication skills to effectively communicate with various IT teams and business representatives.
• Must be able to both collaborate in a team-oriented environment and work independently with direction.

Nice to Have; (But not a must)

• Experience in ETL development using Teradata
• Knowledge of Azure Synapse Analytics
• Experience with streaming technologies (e.g., Kafka, Event Hub)
• Exposure to DevOps practices and tools (Azure DevOps, CI/CD pipelines)
• Understanding of data governance and security best practices
• Experience with Power BI or other reporting tools

Education

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience)

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