
Data Engineering Expert
10 hours ago
Job Title: Data Engineering Expert
About the Role:
- We are seeking a skilled Data Engineer to build and maintain large-scale data processing workflows using leading-edge technologies like Azure Databricks, PySpark, and Apache Spark.
- The ideal candidate will be responsible for performing rigorous data pre-processing tasks such as cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.
- This role involves designing and maintaining cloud-based data architectures including data lakes, lakehouses, and warehouses following industry-standard best practices.
- The successful candidate will deploy and optimize data solutions on cloud platforms such as Azure (preferred), AWS, or GCP with a focus on performance, security, and scalability.
- Developing and optimizing ETL/ELT pipelines for structured and unstructured data from various sources is also an essential part of this role.
- A strong understanding of DevOps principles and CI/CD practices is necessary to automate data workflows ensuring security and compliance with industry standards.
- Maintaining high availability and reliability of data pipelines is crucial in this position.
- Familiarity with containerization using Docker and Kubernetes is highly desirable.
- This role requires collaboration with automation team, data scientists, and engineers to provide clean, structured data for AI/ML models.
Requirements:
- Minimum 4 years of experience in data engineering.
- Expertise in PySpark, Databricks, SQL, Azure/AWS/GCP, ETL, ELT.
- Strong understanding of cloud-based data architectures and data processing technologies.
- Ability to design and implement scalable data pipelines.
- Experience with Docker and Kubernetes is a plus.
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