As a Senior Data Engineer at the company, you will be responsible for building and maintaining the infrastructure that supports data collection, processing, and storage. You will work closely with data scientists, analysts, and other stakeholders to ensure that data systems are reliable, scalable, and secure. Your work will be crucial in enabling data-driven decision-making across the organization. This is a key technical role focused on developing and optimizing the company's data infrastructure, which involves designing and implementing data pipelines, ensuring data quality, and collaborating with cross-functional teams to support various data initiatives.
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Responsibilities
As a Senior Data Engineer, you will be responsible for developing and maintaining data systems to support the company’s strategic goals. Your role will encompass a range of activities focused on data pipeline development, data quality, and cross-functional collaboration.
- Design, construct, install, test, and maintain highly scalable data pipelines with a focus on machine learning models and analytics.
- Work closely with data scientists, ML engineers, and stakeholders to ensure that data is accessible, consistent, and reliable for ongoing projects.
- Develop and maintain APIs for data access and manipulation, and integrate with external data services as needed.
- Manage and optimize data storage solutions for both structured and unstructured data, supporting the requirements of machine learning models.
- Implement processes to monitor data quality and ensure production data is always accurate and available for key stakeholders.
- Collaborate with ML engineers to assist in data-related technical issues and provide architectural guidance and solutions.
- Ensure compliance with data security and privacy policies.
- Maintain clear and up-to-date documentation including data dictionaries, metadata, and architectural diagrams.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; or equivalent work experience.
- 7+ years of experience in a Data Engineering role.
- Proficiency in programming languages like Python, Java, and Scala for managing large-scale data from Terabyte to Petabyte.
- Hands-on experience with big data technologies like Hadoop, Spark, and Flink.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of data warehousing concepts, ETL processes, and data modeling.
- Experience with API development and integration with data services.
- Experience with cloud platforms like Azure.
- Knowledge of DevOps, CI/CD methods, and containerization technologies like Docker or Kubernetes.
- Experience with real-time/streaming data processing.
Technical Stack
- Programming Languages: Python, Java, Scala, SQL, Bash
- Big Data Technologies: Hadoop, Spark, Flink
- Unstructured Data: Text, Image, Audio & Video
- Databases: MySQL, PostgreSQL, MongoDB, Cassandra, HBase, Redis
- Cloud Platforms: Azure
- API Development: RESTful APIs, GraphQL, OpenAPI
- Data Services: Kafka, RabbitMQ
- Containers: Docker, Kubernetes
Location
Abu Dhabi, Abu Dhabi, United Arab Emirates
