
Data Architect
5 hours ago
Job Title: Senior Data Engineer
Key Responsibilities:
- Build scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.
- Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.
- Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses, following Medallion Architecture.
- Deploy and optimize data solutions on Azure (preferred), AWS, or GCP with a focus on performance, security, and scalability.
- Develop and optimize ETL/ELT pipelines for structured and unstructured data from IoT, MES, SCADA, LIMS, and ERP systems.
- Automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards ·
- Monitor, troubleshoot, and enhance data pipelines for high availability and reliability.
- Utilize Docker and Kubernetes for scalable data processing.
- Collaborate with automation team, data scientists and engineers to provide clean, structured data for AI/ML models.
- Proficient in data engineering tools and technologies, including PySpark, Azure Databricks, and Apache Spark.
- Strong experience with data processing, storage, and analysis.
- Familiarity with cloud-based data architectures and design patterns.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies and innovative projects.
- Collaborative and dynamic work environment.
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