Python DeveloperNorthern Base • Philadelphia, PA, United States
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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]Hands-on solutioning of real time REST APIs or other solutions for streaming data Modify existing application code or interfaces or build new application components Analysis of requirements, support of the design, development of the code, testing, Participation in most aspects of programming and application development, Enhance processes to resolve operational problems and add new functions taking Ability to maintain the developed solution on an on-going basis is essential Ability to follow the existing development methodology and coding standards, and Develop and implement databases, data collection systems, data analytics and other Acquire data from primary or secondary data sources and maintain databases / data 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 Testing methods, including unit and integration testing (PyTest, PyUnit) Ability to integrate with large teams, demonstrating strong verbal and written Utilization of software configuration management tools Code deployment and code versioning tools Excellent Communication Skills Bachelor's degree preferably with Computer Science background. At least 5+ years of experience implementing complex ETL pipelines preferably with At least 5+ years of experience with Python particularly within the data space Technical expertise regarding data models, database design development, data 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, Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS Experience designing and implementing data pipelines in a onprem / cloud Experience building / implementing data pipelines using Databricks / On prem or Expert level knowledge of using SQL to write complex, highly optimized queries Hands-on object-oriented programming experience using Python is required. Professional work experience building real-time data streams using Spark and 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 Collaborate with analytics and business teams to improve data models that feed Implement processes and systems to monitor data quality, to ensure production Write unit / integration tests, contribute to engineering wiki, and documents. Perform data analysis required to troubleshoot data related issues and assist in the Experience developing data integrations and data quality framework based on Experience with CI / CD processes and tools (e.g., concourse, Jenkins). Experience with test driven development writing unit tests, test coverage using 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
Responsibilities :
- Hands-on building of ETL pipelines using our internal framework written in Java and
Python
from Graph
from detailed requirements.
debugging, deployment, and maintenance of those programs and interfaces.
Documentation of the work is essential
including file design, update, storage, and retrieval
into consideration schedule, resource constraints, process complexity, dependencies,
assumptions and application structure
ensure compliance with the internal and external regulatory requirements
strategies that optimize statistical efficiency and quality
systems
team within the organization.
communication skills
Qualifications :
Spark toolset.
mining and segmentation techniques
Perl, Shell (either bash or zsh).
S3, AWS Analytics required.
environment is required.
similar cloud database.
across large volumes of data.
Experience in Spark.
support continuing increases in data volume and complexity.
business intelligence tools, increase data accessibility, and foster data-driven decision
making across the organization.
data accuracy, and ensure key stakeholder and business process access.
resolution of data issues.
established requirements.
PyTest, PyUnit, pytest-cov libraries.
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