Exadel Inc (Website)

Senior Analytics Engineer (Databricks, Spark)

Exadel Inc (Website) · São Paulo, Brazil

Posted 12 days ago

or apply directly on Exadel Inc (Website)'s site. We never take the application ourselves.

Is this posting real?

This role has been open
12 days
Exadel Inc (Website)'s roles stay open a median of 41 days
Reposted
No
Salary listed
No
14% of Exadel Inc (Website)'s roles list one
Ghost-job risk at Exadel Inc (Website)
high
19 stale, 2 reposted of 50 open
Hiring momentum
105 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Exadel Inc (Website)'s own greenhouse board since 2026-08-03. Full hiring picture for Exadel Inc (Website).

About this role

As a Senior Analytics Engineer at Exadel, you will design, develop, and maintain scalable data pipelines while working with Databricks and Apache Spark. Your responsibilities will include transforming and modeling data, optimizing data processing solutions, and ensuring data quality and reliability. You will collaborate with cross-functional teams and take ownership of technical solutions from development to deployment.

Our read on this posting3.6out of 5
benefits
5/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Exadel Inc (Website) as an employer.

What you need

  • Professional experience in Data Engineering, Analytics Engineering, or a related field.
  • Proven experience building and operating production-grade data pipelines.
  • Strong hands-on experience with Databricks, including Workflows, Jobs, and Unity Catalog.
  • Advanced experience with Apache Spark, using PySpark and/or Scala.
  • Experience processing and optimizing large-scale datasets, including datasets containing hundreds of millions of records.
  • Advanced SQL skills, including complex queries, data transformations, and query optimization.

Nice to have

  • Experience supporting cloud migration and data modernization initiatives, particularly migrations from GCP to AWS.
  • Experience with AWS services, including S3, Glue, and Lake Formation.
  • Familiarity with Google Cloud Platform (GCP) or other major cloud platforms.
  • Experience with modern Lakehouse architectures and Semantic Layer concepts.
  • Experience integrating REST APIs and processing JSON data.

What you get

  • International projects
  • In-office, hybrid, or remote flexibility
  • Medical healthcare
  • Recognition program
  • Ongoing learning & reimbursement
  • Well-being program

Worth weighing

  • No specific salary details provided; compensation discussed early in the recruitment process.
  • The role involves a significant focus on data quality and troubleshooting, which may indicate a fast-paced environment with high expectations.
  • The job description mentions that duties may evolve based on business needs, suggesting potential changes in responsibilities over time.

Summarised from Exadel Inc (Website)'s posting. Read the full original.

Listed by Exadel Inc (Website) on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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