Senior Data Engineer

Seattle, Washington

Accellor
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Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies.

Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We've created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation - we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated - focused on building the perfect solution but never losing sight of the bigger picture.

Responsibilities:
  • Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence and deployment infrastructure diagrams.
  • Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.
  • Experience with gathering end user requirements and writing technical documentation.
  • Suggest innovative solutions based on new technologies and latest trends.
  • Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.
  • Work closely with client teams to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.
Requirements
  • 7+ years of experience working with Snowflake in a data engineering or architecture role.
  • Strong expertise in SQL and advanced query optimization techniques.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake.
  • Proficiency in ETL/ELT tools such as ADF, Fabric, etc.
  • Experience with data visualization tools like Tableau, Power BI, or Looker.
  • Familiarity with programming languages such as Python, Java, or Scala for data processing and automation.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, dynamic environment.
Date Posted: 10 May 2025
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