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Senior Consultant, Data Engineer - Remote

Posted 2 days ago
Data Analysis
Full Time
USA

Overview

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.

In Short

  • Utilize consulting and technical skills to work in a client-facing project environment.
  • Execute client engagements under the supervision of the engagement lead.
  • Collaborate with team members to successfully deliver on projects.
  • Work effectively with internal and client teams.
  • Support data integration efforts using cloud services.
  • Deliver ETL/ELT pipelines for small-scale projects independently.
  • Contribute to data warehousing initiatives.
  • Apply skills with Databricks, using Python and big data streaming.

Requirements

  • B.S. in Computer Science or equivalent.
  • 2-3 years of experience in data engineering and big data, preferably with client interaction.
  • Extensive knowledge of data warehousing concepts and hands-on experience with Databricks and/or Spark.
  • Proficiency in Python, SQL, and possibly Scala.
  • Basic data modeling and database design skills.
  • Excellent verbal and written communication skills.
  • Databricks certification is a plus.

Benefits

  • Exciting projects with clients across various departments and verticals.
  • Opportunity to work closely with experienced data engineers.
  • Exposure to companies of all sizes, from Fortune 100 to local businesses.
  • A workplace that encourages challenging the status quo.
  • A diverse team of data experts and innovators.
Lovelytics logo

Lovelytics

Lovelytics is a rapidly growing data and AI consulting firm that specializes in providing analytics solutions with a focus on Databricks. Since its partnership with Databricks in 2019, the company has expanded significantly, increasing its workforce from 50 to over 340 employees in just three years. Lovelytics serves a diverse range of high-profile clients across various industries, including Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services. The firm is dedicated to building innovative analytics platforms and fostering collaboration between technical teams and business stakeholders to deliver actionable insights and enhance data usability.

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