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Data Engineer/Architect
Data Engineer/ArchitectSigmoid • Dallas, TX, US
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Data Engineer / Architect

Data Engineer / Architect

Sigmoid • Dallas, TX, US
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  • [job_card.full_time]
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Job Description

About Sigmoid Analytics :

Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation!

Why Sigmoid?

  • Inc. 500 Fastest-Growing Companies (4 years running)
  • Deloitte Technology Fast 500 (4 years running)
  • Top Employer : AIM’s 50 Best Firms for Data Scientists
  • Recently named British Data Awards Finalist & more accolades on the way!

Accelerate your career with a fast-growing, innovative company. Apply now and be part of our award-winning team!

Job Description :

  • 5 Days work from Dallas Office
  • No HYBRID

    • Align Sigmoid with key Client initiatives

  • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
  • Connect with CIO, VP and Director level clients on a regular basis.
  • Ability to understand business requirements and tie them to technology solutions

    • Build a delivery plan with domain experts and stay on track

  • Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies.
  • Excellent experience in Application development and support, integration development and data management.

    • Build team and manage it day to day basis

  • Play the key role of hiring manager to build the future of Sigmoid.
  • Guiding developers in day to day design and coding tasks, stepping in to code if needed.
  • Define your team structure, Hire and train your team as needed

    • 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 data 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. ”

    • Facilitate in Technical Aspects

  • Help Technical architects understand clients business constraints while drawing out architectures
  • Build a business case around highly scalable and fault-tolerant distributed components designed by technical architects
  • Lead integration effort onsite with the client technical teams
  • Understand client acceptance criteria and emulate that for offshore technical teams
  • Receive and monitor technical deliverables from the offshore team and present to client teams

    • Qualifications :

  • 8-16+ years track record of relevant work experience and a Computer Science or related technical discipline is required
  • Dynamic leader who has directly managed team of highly competent developers in fast paced work environment
  • Experience in Architecture and delivery of Enterprise scale applications.
  • Lead and execute data migration projects , especially migrations to AWS
  • Architect and develop data warehouses using modern cloud technologies
  • Handle data project migrations from legacy systems (including Hadoop-based platforms) to cloud environments
  • Work extensively with Snowflake and Databricks for data processing and analytics

    • Preferred Qualification :

  • Architecting, developing, implementing and maintaining Big Data solutions
  • Experience with database modeling and development, data mining and warehousing.
  • Experience with Hadoop ecosystem (HDFS, MapReduce, Hive, Impala, Spark, Kerberos, KAFKA, etc)
  • 5 Days work from Dallas Office
  • No HYBRID
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