Data Engineer

Tekshapers

México

On-site

MXN 420,000 - 680,000

Full time

1 hour ago
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Job summary

Tekshapers seeks a data engineering professional skilled in Databricks Lakehouse on AWS to centralize data across in-house systems in Mexico. You will work with PySpark, Delta/medallion architecture, and data modeling fundamentals to support enrollment and case workflows.

Experience with Amazon Connect, EPS, or CRM platforms is highly valued, along with the ability to design ERDs, understand join cardinalities, and perform unit tests after development.

Qualifications

  • Must have hands-on experience with Databricks Lakehouse on AWS and Delta/medallion architecture.
  • Strong PySpark and AWS ecosystem experience (S3, Delta Lake).
  • Familiarity with CRM platforms like Amazon Connect, EPS, or enrollment/case systems.
  • Ability to read ERDs and understand baseline grain and join cardinality.
  • Capable of writing and running unit tests after development.

Skills

Databricks Lakehouse
AWS
PySpark
CRM
ERDs & data modeling
Unit testing
Databricks on AWS

Job description

Language: Conversational English (Intermediate- Advance)

Job Description:

Must have:

  • Databricks Lakehouse
  • AWS
  • Pyspark
  • CRM (Amazon connect, EPS)
  • Will be based on the Databricks Lakehouse medallion architecture, supporting data centralization across our in-house systems.
  • It would be a big plus if the candidates have worked with Amazon Connect, EPS, or any CRM used for enrollment and case.
  • They must be able to understand ERDs and fundamental data modeling concepts, such as baseline grain or join cardinality.
  • Additionally, they must be capable of conducting their own unit tests after development.
  • AWS connect, contact lens and bedrock experienced engineers? 2-3 year's experience will suffice in this space.
  • They should have hands-on experience with Databricks on AWS (S3, PySpark, Delta/medallion).

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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