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Python Developer with Pyspark

N Consulting Ltd
3 months ago
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Data Engineer – Python | Databricks | PySpark

Data Engineer – Python | Databricks | PySpark

Data Engineer – Python | Databricks | PySpark

Data And Machine Learning Developer

Data And Machine Learning Developer

Deputy Head of Data Engineering

Job Title:Python Developer with PySpark

Location:Northompton

Job Type:Contract

About the Role:
We are seeking a skilled Python Developer with expertise in PySpark to join our dynamic team. The ideal candidate will have strong experience in building and optimizing large-scale data processing pipelines and a deep understanding of distributed data systems. You will play a key role in designing and implementing data solutions that drive critical business decisions.

Key Responsibilities:

  • Develop, optimize, and maintain large-scale data pipelines using PySpark and Python.
  • Collaborate with data engineers, analysts, and stakeholders to gather requirements and implement data solutions.
  • Perform ETL (Extract, Transform, Load) processes on large datasets and ensure efficient data workflows.
  • Analyze and debug data processing issues to ensure accuracy and reliability of pipelines.
  • Work with distributed computing frameworks to handle large datasets efficiently.
  • Develop reusable components, libraries, and frameworks for data processing.
  • Optimize PySpark jobs for performance and scalability.
  • Integrate data pipelines with cloud platforms like AWS, Azure, or Google Cloud (if applicable).
  • Monitor and troubleshoot production data pipelines to minimize downtime and data issues.

Key Skills and Qualifications:

Technical Skills:

  • Strong programming skills inPythonwith hands-on experience inPySpark.
  • Experience with distributed data processing frameworks (e.g., Spark).
  • Proficiency in SQL for querying and transforming data.
  • Understanding of data partitioning, serialization formats (Parquet, ORC, Avro), and data compression techniques.
  • Familiarity with Big Data technologies such as Hadoop, Hive, and Kafka (optional but preferred).

Cloud Platforms (Preferred):

  • Hands-on experience with AWS services like S3, EMR, Glue, or Redshift.
  • Knowledge of Azure Data Lake, Databricks, or Google BigQuery is a plus.

Additional Tools and Frameworks:

  • Familiarity with CI/CD pipelines and version control tools (Git, Jenkins).
  • Experience with orchestration tools like Apache Airflow or Luigi.
  • Understanding of containerization and orchestration tools like Docker and Kubernetes (preferred).

Experience:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in Python programming.
  • 4+ years of hands-on experience with PySpark.
  • Experience with Big Data ecosystems and tools.
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