Design, develop, and maintain real-time data streaming pipelines using Spark Streaming or Azure Functions. We are seeking a highly skilled Senior Data Engineer or Data Architect with extensive experience in Synapse and Azure data services. The ideal candidate will have a deep understanding of Spark and Lakehouse architectures, as well as a proven track record of implementing and managing data solutions using Synapse services and other Azure tools.

Key Responsibilities

Design, develop, and maintain data architectures using Spark and Lakehouse methodologies.
Utilize Synapse services including Spark pools, dedicated SQL pools, and pipelines to build robust data solutions.
Leverage other Azure data services to enhance and optimize data workflows.
Implement and manage CI/CD pipelines to ensure smooth deployment and integration processes.

Qualifications

Strong expertise in Spark and Lakehouse architectures.
Hands-on experience with Synapse services: Spark pools, dedicated SQL pools, and pipelines.
Proficiency with additional Azure data services.
Solid experience with CI/CD processes and tools.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Join our team and contribute to cutting-edge data solutions in a dynamic and innovative setting.
Load, merge, and process machine logs from Kafka, ensuring efficient data flow and transformation.
Integrate processed data into Redis cache and send it to the data lake for long-term storage and analysis.
Implement and optimize data processing solutions using Python.
Apply software engineering best practices, including code reviews, version control, and continuous integration/deployment (CI/CD).
Collaborate with cross-functional teams to understand requirements and deliver high-quality data solutions.

Requirements:

· Proven experience in real-time data streaming using Spark Streaming or Azure Functions.

· Strong proficiency in Python for data processing and automation tasks.

· Hands-on experience with Kafka for data ingestion and message queuing.

· Familiarity with Redis for caching and fast data retrieval.

· Knowledge of data lake architectures and best practices for data storage and retrieval.

· Solid understanding of software engineering principles, including design patterns, testing, and documentation.

· Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

· Experience with cloud platforms such as Azure

· Knowledge of other programming languages and frameworks related to data engineering.

· Familiarity with data modeling, ETL processes, and data lake concepts.

Azure - Senior Data Engineer - Synapse

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