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**Senior Python Developer with PySpark Experience**

2 months ago


Jersey City, New Jersey, United States Synechron Full time
About the Role

We are seeking a highly skilled Senior Python Developer with extensive experience in PySpark to join our data engineering team at Synechron.

The ideal candidate will have a strong background in big data processing, experience with Apache Spark, and a proven track record in Python programming.

Key Responsibilities
  • Design and develop scalable data processing pipelines using PySpark to process large datasets.
  • Develop high-performance algorithms and predictive models using Python and PySpark.
  • Collaborate with data scientists and analysts to transform data into actionable insights.
  • Write efficient and reusable Python code to ensure data quality and integrity.
  • Optimize data retrieval and develop dashboards and reports for business stakeholders.
  • Implement data ingestion, data cleansing, deduplication, and data consolidation processes using PySpark and Apache Spark.
  • Leverage cloud-based big data services and architectures (AWS, Azure, or GCP) for processing large datasets.
  • Collaborate with cross-functional teams to define and refine data and analytics requirements.
  • Ensure systems meet business requirements and industry practices for security and privacy.
  • Stay updated with the latest innovations in big data technologies and PySpark enhancements.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Minimum of 8 years of experience in Python development.
  • Strong experience with Apache Spark and its components (Spark SQL, Streaming, MLlib, GraphX) using PySpark.
  • Demonstrated ability to write efficient, complex queries against large data sets.
  • Knowledge of data warehousing principles and data modeling concepts.
  • Proficient understanding of distributed computing principles.
  • Experience with at least one cloud provider (AWS, Azure, GCP), including their big data processing services.
  • Strong problem-solving skills and ability to work under tight deadlines.
  • Excellent communication and collaboration abilities.
Preferred Qualifications
  • Experience with additional big data tools like Hadoop, Kafka, or similar technologies.
  • Familiarity with machine learning frameworks and libraries.
  • Experience with data visualization tools and libraries.
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes).
  • Contributions to open-source projects or a strong GitHub portfolio showcasing relevant projects.
About Synechron

Synechron is a multinational organization with 55 offices in 20 countries and a commitment to diversity and inclusion.

We offer a highly competitive compensation and benefits package, a comprehensive insurance plan, and extensive training opportunities.

Our team is passionate about delivering innovative solutions and making a positive impact on the world.