On behalf of Tipalti, SD Solutions is looking for a talented Data Engineer to join our dynamic team of analytics experts.

In this role, you will play a key part in enhancing and maintaining our data integration processes, building robust data pipelines, and ensuring the reliability and scalability of our data platform. The ideal candidate thrives in a fast-paced environment, enjoys optimizing data systems, and is passionate about continuously improving our company’s data architecture to support evolving products and data initiatives.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

  • Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
  • Design and implement scalable, automated processes for large-scale data analyses.
  • Collaborate with stakeholders to understand data requirements and build datasets accordingly.
  • Work with teams to enhance data models and promote data-driven decision-making.
  • Contribute to the long-term strategy and architecture of the data platform.
  • Maintain data lake pipelines and ensure adherence to schema standards.

Requirements:

  • 3+ years of Python development experience.
  • 4+ years of experience as a Data Engineer or similar role.
  • Proficiency in SQL, data modeling, and building ETL/ELT pipelines.
  • Experience with AWS cloud environment and big data technologies.
  • Familiarity with Airflow, DBT, and Kafka is desirable.
  • Experience with at least one big data environment, such as Snowflake, Vertica, or Redshift.
  • Strong analytical skills and experience with creating data pipelines.
  • Bachelor’s or Master’s degree in Computer Science or a related field.

About the company:

It is a global payables automation platform that provides a cloud solution to scale and automate global payables operations. The startup has already raised $565M funding.

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