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Data Architect and Engineer

2 weeks ago

Malappuram, Kerala, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Opportunity:

  • Build scalable, real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.
  • Pursue 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, incorporating data lakes, lakehouses, and warehouses following a Medallion Architecture framework.
  • Deploy and optimize data solutions on cloud platforms such as 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 Continuous Integration/Continuous Deployment (CI/CD) and DevOps best practices ensuring security and compliance with industry standards.
  • Monitor, troubleshoot, and enhance data pipelines for high availability and reliability.
  • Apply Docker and Kubernetes for scalable data processing.

We are seeking an experienced data engineer to design and deploy scalable data architectures, collaborate with cross-functional teams, and drive business outcomes.

To succeed in this role, the ideal candidate will have expertise in data engineering, cloud computing, and software development. A strong understanding of data architecture, data warehousing, and data governance is also essential.

  1. Cloud Platforms: Experience working with cloud platforms such as Azure, AWS, or GCP, including deployment, management, and optimization of data solutions.
  2. Data Engineering Tools: Proficiency in data engineering tools such as Azure Databricks, PySpark, Apache Spark, and Docker/Kubernetes.
  3. Programming Languages: Expertise in programming languages such as Python, Scala, Java, and SQL.
  4. Data Governance: Strong understanding of data governance principles, data quality, and data security.
  5. Communication Skills: Excellent communication skills to work effectively with cross-functional teams.

Benefits include competitive salary, comprehensive health insurance, paid time off, and professional growth opportunities.

We value diversity and inclusion in the workplace.