Senior Cloud Data Solutions Architect

2 weeks ago

Varanasi, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 20,00,000

Job Description

This contract remote role involves building, optimizing and maintaining large-scale data processing solutions. A highly motivated Data Engineer with 3–4 years of experience is required to design and implement scalable data pipelines in cloud environments.

  • Design, develop and optimize data pipelines using PySpark, Spark and Python.
  • Implement ETL/ELT solutions to integrate structured and unstructured data from multiple sources.
  • Develop and maintain Hive queries and ensure seamless data transformations.
  • Write and optimize SQL queries for large datasets.
  • Build, monitor and support real-time streaming solutions using Apache Kafka.
  • Work on Databricks to create, manage and optimize data workflows.
  • Deploy and manage solutions in Azure cloud services.
  • Debug, troubleshoot and optimize code for performance and scalability.

Required Skills & Qualifications

  • 3–4 years of experience in data engineering with a focus on PySpark and Python.
  • Strong knowledge of Spark, Hive, SQL and Unix shell scripting.
  • Experience with Databricks in a production environment.
  • Hands-on experience with Azure cloud services.
  • Experience working with Apache Kafka or other real-time streaming technologies.
  • Strong problem-solving and debugging skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently in a fast-paced environment and adapt to new technologies quickly.

Nice-to-Have Skills

  • Exposure to CI/CD pipelines for data solutions.
  • Knowledge of data governance and security best practices.
  • Experience with Agile/Scrum methodology.

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