Expert Data Engineer

6 hours ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Expert Data Engineer 

Overview:

We are seeking an expert in data engineering with 3–4 years of experience in building, optimizing, and maintaining large-scale data processing solutions.

Key Responsibilities:

  • 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 cloud services.
  • Debug, troubleshoot, and optimize code for performance and scalability.
  • Collaborate with cross-functional teams to deliver data-driven solutions.

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 (preferred: Data Lake, Synapse, Databricks).
  • 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.
Benefits: 

This is a contract remote role with opportunities for professional growth and development. We value collaboration, innovation, and customer satisfaction.

Others: 

Responsibilities include designing, developing, and optimizing data pipelines, implementing ETL/ELT solutions, developing and maintaining Hive queries, writing and optimizing SQL queries, and collaborating with cross-functional teams to deliver data-driven solutions.

Data Governance: Strong understanding of data governance principles and practices.

Databricks: Hands-on experience working with Databricks in a production environment.

Cloud Services: Experience deploying and managing solutions in cloud services such as Data Lake, Synapse, and Databricks.

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