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Python Developer
Python DeveloperNorthern Base • Philadelphia, PA, United States
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Python Developer

Python Developer

Northern Base • Philadelphia, PA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Responsibilities :

  • Hands-on building of ETL pipelines using our internal framework written in Java and

Python

  • Hands-on solutioning of real time REST APIs or other solutions for streaming data
  • from Graph

  • Modify existing application code or interfaces or build new application components
  • from detailed requirements.

  • Analysis of requirements, support of the design, development of the code, testing,
  • debugging, deployment, and maintenance of those programs and interfaces.

    Documentation of the work is essential

  • Participation in most aspects of programming and application development,
  • including file design, update, storage, and retrieval

  • Enhance processes to resolve operational problems and add new functions taking
  • into consideration schedule, resource constraints, process complexity, dependencies,

    assumptions and application structure

  • Ability to maintain the developed solution on an on-going basis is essential
  • Ability to follow the existing development methodology and coding standards, and
  • ensure compliance with the internal and external regulatory requirements

  • Develop and implement databases, data collection systems, data analytics and other
  • strategies that optimize statistical efficiency and quality

  • Acquire data from primary or secondary data sources and maintain databases / data
  • systems

  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Document design and data flow for existing and new applications being built.
  • Co-ordinate with multiple different teams QA, Operations and other development
  • team within the organization.

  • Testing methods, including unit and integration testing (PyTest, PyUnit)
  • Ability to integrate with large teams, demonstrating strong verbal and written
  • communication skills

  • Utilization of software configuration management tools
  • Code deployment and code versioning tools
  • Excellent Communication Skills
  • Qualifications :

  • Bachelor's degree preferably with Computer Science background.
  • At least 5+ years of experience implementing complex ETL pipelines preferably with
  • Spark toolset.

  • At least 5+ years of experience with Python particularly within the data space
  • Technical expertise regarding data models, database design development, data
  • mining and segmentation techniques

  • Good experience writing complex SQL and ETL processes
  • Excellent coding and design skills, particularly either in Scala or Python.
  • Strong practical working experience with Unix scripting in at least one of Python,
  • Perl, Shell (either bash or zsh).

  • Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS
  • S3, AWS Analytics required.

  • Experience designing and implementing data pipelines in a onprem / cloud
  • environment is required.

  • Experience building / implementing data pipelines using Databricks / On prem or
  • similar cloud database.

  • Expert level knowledge of using SQL to write complex, highly optimized queries
  • across large volumes of data.

  • Hands-on object-oriented programming experience using Python is required.
  • Professional work experience building real-time data streams using Spark and
  • Experience in Spark.

  • Knowledge or experience in architectural best practices in building data lakes
  • Develop and work with APIs
  • Develop and maintain scalable data pipelines and build out new API integrations to
  • support continuing increases in data volume and complexity.

  • Collaborate with analytics and business teams to improve data models that feed
  • business intelligence tools, increase data accessibility, and foster data-driven decision

    making across the organization.

  • Implement processes and systems to monitor data quality, to ensure production
  • data accuracy, and ensure key stakeholder and business process access.

  • Write unit / integration tests, contribute to engineering wiki, and documents.
  • Perform data analysis required to troubleshoot data related issues and assist in the
  • resolution of data issues.

  • Experience developing data integrations and data quality framework based on
  • established requirements.

  • Experience with CI / CD processes and tools (e.g., concourse, Jenkins).
  • Experience with test driven development writing unit tests, test coverage using
  • PyTest, PyUnit, pytest-cov libraries.

  • Experience working in an Agile environment.
  • Good understanding & usage of algorithms and data structures
  • Good Experience building reusable frameworks.
  • Experience working in an Agile Team environment.
  • AWS certification is preferable : AWS Developer / Architect / DevOps / Big Data
  • Excellent communication skills both verbal and written
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