Lead Cloud Data Architect
9 hours ago
The key objective of this Senior Data Engineer role is to design and maintain cloud-based data architectures, encompassing data lakes, lakehouses, and warehouses.
- Develop scalable real-time and batch processing workflows utilizing Azure Databricks, PySpark, and Apache Spark.
- Perform comprehensive data pre-processing tasks, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.
- Design and maintain cloud-based data architectures adhering to industry best practices.
- Deploy and optimize data solutions on Azure, AWS, or GCP with a focus on performance, security, and scalability.
- Establish 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.
Required Skills and Qualifications
- 4+ years of experience in data engineering.
- Proficiency in Pyspark, Databricks, SQL, Azure/AWS/GCP, ETL, ELT.
Why This Role?
This is a permanent position that requires the ability to work independently and collaboratively as part of a team. The ideal candidate will possess excellent problem-solving skills, attention to detail, and strong communication skills.
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