
Highly Skilled Data Architect
3 days ago
We are seeking a seasoned Senior Data Engineer to fill a key role in our team. The ideal candidate will have 4+ years of experience designing, building, and maintaining large-scale data architectures.
Main Responsibilities- Design and 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.
- 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.
The successful candidate will possess:
- Expertise in designing and implementing efficient data solutions.
- Strong knowledge of data architecture, engineering, and management principles.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies like Hadoop, Spark, and NoSQL databases.
- Familiarity with cloud platforms, including Azure, AWS, and GCP.
- Excellent problem-solving skills and ability to work under pressure.
This role offers opportunities for professional growth, competitive compensation, and a dynamic work environment.
Additional InformationPlease submit your application if you meet the qualifications and are interested in this challenging role.
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