Cloud Architect Position

3 days ago

Anantapur, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Data Engineering Lead

We are seeking a highly skilled and experienced Data Engineering Lead to join our team. The ideal candidate will have a strong background in designing and maintaining cloud-based data architectures, with expertise in Azure Databricks, PySpark, and Apache Spark.

Main 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.
Requirements:
  • 4+ years of experience in data engineering.
  • Strong knowledge of Azure Databricks, PySpark, and Apache Spark.
  • Experience in designing and maintaining cloud-based data architectures.
  • Proficiency in SQL and familiarity with ETL/ELT pipelines.
  • Understanding of CI/CD and DevOps best practices.
  • Excellent problem-solving skills and attention to detail.

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