Remote Senior Consultant, Data Engineer

at Lovelytics

Posted 1 day ago 2 applied

Description:

  • Lovelytics is seeking an ambitious data engineer who is comfortable working in a client-facing role to join our Data & AI team and work on strategic Databricks and other data engineering projects.
  • This Level 2 position will primarily focus on participating in engagements with clients related to data warehousing, ETL development, data integrations, and data modeling.
  • The role requires someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for data engineering.
  • This role is open to remote candidates in the US and Toronto, Canada.
  • This role is not eligible for candidates requiring sponsorship in order to work in the US.

Requirements:

  • A B.S. in Computer Science or equivalent is required.
  • Candidates should have 2-3 years of experience in data engineering and big data in a professional setting, preferably with 1 year of working directly with clients and external stakeholders.
  • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks and/or Spark is a must.
  • Proficiency in programming languages, including writing and debugging Python, SQL, and possibly Scala code, is required.
  • Basic data modeling and database design skills, along with knowledge of version control, are necessary.
  • Excellent verbal and written communication skills are essential.
  • A Databricks certification is a plus.

Benefits:

  • Employees will work on exciting projects with great clients in varying departments and verticals across the world.
  • There is an opportunity to work closely with experienced data engineers and quickly grow and expand skillsets.
  • Employees will have the chance to work with companies of all sizes, ranging from Fortune 100 to small local businesses.
  • The workplace encourages challenging the status quo and developing new technologies, methodologies, and processes.
  • The team is diverse, consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better.