Python Developer

4 weeks ago


Nashville, United States Vlink Full time
Key Responsibilities:
  • Develop, optimize, and maintain ETL pipelines using Apache Spark and Python.
  • Implement batch and streaming data pipelines to process structured and unstructured data from various sources.
  • Collaborate with data scientists and analysts to create robust, scalable, and reusable data processing workflows.
  • Write clean, scalable, and maintainable code while following best practices in software development.
  • Perform code reviews, testing, and continuous integration to ensure high-quality data solutions.
  • Optimize Spark applications for performance and scalability, focusing on reducing execution time and improving resource utilization.
  • Work with large datasets and distributed systems to ensure high availability and fault tolerance.
  • Design and implement data storage solutions such as HDFS, Hive, and other big data technologies.
  • Troubleshoot and resolve issues related to Spark jobs and data pipelines in production environments.
  • Participate in architectural design decisions and provide input on data engineering best practices.
Skills and Qualifications:
  • Proficient in Python with strong knowledge of Python libraries (e.g., Pandas, NumPy, PySpark).
  • Strong experience with Apache Spark (2+ years).
  • Experience in building, maintaining, and optimizing data pipelines using Spark.
  • Familiarity with big data technologies such as Hadoop, Hive, HDFS, Kafka, and HBase.
  • Experience with SQL and working with large relational and non-relational databases.
  • Understanding of distributed computing principles and optimization techniques.
  • Knowledge of data processing tools and frameworks such as Airflow or Luigi.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud (e.g., EMR, Databricks, etc.).
  • Solid understanding of CI/CD pipelines and automated testing.
  • Familiarity with version control systems like Git.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

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