Leading Edge Big Data Professional

4 days ago


Cochin, Kerala, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Experienced Data Engineer">

We are seeking a skilled data engineer to design, develop, and maintain scalable data pipelines using Spark (PySpark or Scala).

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This role involves building data ingestion and transformation frameworks for structured and unstructured data sources.

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  • Design and develop scalable data pipelines using Spark (PySpark or Scala).
  • Build data ingestion and transformation frameworks for structured and unstructured data sources.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solutions.
  • Work with large volumes of data and ensure quality, integrity, and consistency.
  • Optimize data workflows for performance, scalability, and cost efficiency on cloud platforms (AWS, Azure, or GCP).
  • Implement data quality checks and automation for ETL/ELT pipelines.
  • Monitor and troubleshoot data issues in production and perform root cause analysis.
  • Document technical processes, system designs, and operational procedures.
">Requirements:">
  • 3+ years of experience as a Data Engineer or similar role.
  • Hands-on experience with PySpark or Spark using Scala.
  • Strong knowledge of SQL for data querying and transformation.
  • Experience working with any cloud platform (AWS, Azure, or GCP).
  • Solid understanding of data warehousing concepts and big data architecture.
  • Experience with version control systems like Git.
">Preferred Skills:">
  • Experience with data orchestration tools like Apache Airflow, Databricks Workflows, or similar.
  • Knowledge of Delta Lake, HDFS, or Kafka.
  • Familiarity with containerization tools (Docker/Kubernetes).
  • Exposure to CI/CD practices and DevOps principles.
  • Understanding of data governance, security, and compliance standards.
">

As a data engineer, you will have the opportunity to work with a variety of technologies and contribute to the development of scalable and efficient data pipelines.

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