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Home›Jobs›Sigmoid›Software Development Engineer II - Python, PySpark, SQL
Sigmoid

About Sigmoid

Transforming data into actionable insights for enterprises

🏢 Tech👥 251-1K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, California
  • Over 500 employees focused on data solutions
  • Partners with Fortune 500 companies for data analytics
  • Utilizes open-source and cloud technologies

Sigmoid, headquartered in San Francisco, California, specializes in data solutions that leverage real-time analytics and machine learning. The company partners with clients like Fortune 500 companies to build and manage large-scale data platforms using open-source and cloud technologies. With a work...

🎁 Benefits

Employees enjoy competitive equity options, generous PTO policies, flexible remote work arrangements, and a learning budget for professional developme...

🌟 Culture

Sigmoid fosters a culture that emphasizes data-driven decision-making and innovation, encouraging teams to experiment with new technologies and method...

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Sigmoid

Software Development Engineer II - Python, PySpark, SQL

Sigmoid • Bengaluru

Posted 1 month ago🏛️ On-SiteMid-LevelSoftware engineering📍 Bengaluru
Apply Now →

Job Description

You will be responsible for building a highly-scalable and extensible robust application. This position reports to the Engineering Manager.

Responsibilities:

  • Align Sigmoid with key Client initiatives
    • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
    • Ability to understand business requirements and tie them to technology solutions
    • Open to work from client location as per the demand of the project / customer.
  • Facilitate in Technical Aspects
    • Develop and evolve highly scalable and fault-tolerant distributed components using Java technologies.
    • Excellent experience in Application development and support, integration development and quality assurance.
  • Provide technical leadership and manage it day to day basis
    • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
  • Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid
    • Hands on coder with good understanding on enterprise level code.
    • Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
    • Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
  • Culture
    • Must be a strategic thinker with the ability to think unconventional / out:of:box.
    • Analytical and solution driven orientation.
    • Raw intellect, talent and energy are critical.
    • Entrepreneurial and Agile : understands the demands of a private, high growth company.
    • Ability to be both a leader and hands on "doer".

 

Qualifications: -

  • 3-5 year track record of relevant work experience and a computer Science or a related technical discipline is required
  • Experience in development of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, and propose comprehensive solutions.
  • Experience with functional and object-oriented programming, Java (Preferred) or Python is a must.
  • Hand-On knowledge in Map Reduce, Hadoop, PySpark, Hbase and ElasticSearch.
  • Development and support experience in Big Data domain
  • Experience with database modelling and development, data mining and warehousing.
  • Unit, Integration and User Acceptance Testing.
  • Effective communication skills (both written and verbal)
  • Ability to collaborate with a diverse set of engineers, data scientists and product managers
  • Comfort in a fast-paced start-up environment.

 

Preferred Qualification:

  • Experience in Agile methodology.
  • Proficient with SQL and its variation among popular databases.
  • Experience working with large, complex data sets from a variety of sources.

Interested in this role?

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