We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

We are seeking a seasoned Lead Python/Django Developer to spearhead the remediation, enhancement, and integration of intricate legacy systems within our dynamic team. As a Senior Python/Django Developer, you will be at the forefront of tackling complex challenges, requiring astute problem-solving skills and a proactive approach to communication

Key Responsibilities:

• Advance the remediation, enhancement, and seamless integration of legacy systems with new ones, ensuring robustness and scalability.
• Spearhead Django framework upgrades and enhancements across various systems.
• Collaborate closely with team members and stakeholders under an Agile methodology, providing clear and concise communication throughout the development lifecycle.
• Innovate and implement inventive solutions to intricate technical obstacles, leveraging your expertise and creativity.

Required Skills:

• We are looking for a  Lead Python/Django Developer with a minimum of 6- 9 years of experience Proficiency with Django Framework (version 1.3 through 4.2+).
• Proficiency in Python, encompassing scripting, packaging, PyPI, Python 2.7 to 3 conversions and Pandas.
• Strong command of SQL, with hands-on experience in Django ORM on top of MySQL 5.5 and Postgres.
• In-depth understanding of RESTful APIs and their implementation.
• Extensive familiarity with Docker and proficient in crafting Docker Compose files and Dockerfiles for seamless deployment.
• Proficiency in utilizing AWS services such as EC2, S3, Batch, RDS, and more, with a focus on scalability and reliability.
• Experience in implementing and maintaining pytest and unit test frameworks and CI/CD pipelines to ensure code quality and continuous integration.

Additional Skills Desired:

• Familiarity with Celery task queues to streamline development processes.
• Familiarity with data pipeline and data engineering concepts, including data encryption, tokenization, and format conversion.
• Knowledge of Kubernetes for orchestrating containerized applications, facilitating scalability and management.
• Experience with command line operations, particularly within Ubuntu/Debian environments (14.04+), including adeptness in packaging and system maintenance.
• Management of Linux network services, including configuration and optimization of Apache, Nginx, Sendmail/imap, and ssh.
• Experience with additional scripting languages (bash, perl, php, and json).
• Experience in utilizing Make files for efficient task automation and project management.

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For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume