Role overview

Sr. Data Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

Details

  • Experience in data engineering with Databricks and AWS;
  • Experience with Apache Spark, SQL, and Python or Scala;
  • Experience with Delta Lake, Unity Catalog, and cloud data warehouses (e.g., Redshift);
  • Experience with data modeling, ETL/ELT processes, and data governance;
  • Experience with orchestration tools including Gitlab or Bitbucket and CI/CD practices;
  • Experience in collaborating with cross-functional teams to deliver data solutions using Python and Databricks in Agile environments;
  • Experience with design and optimizing scalable data pipelines with Python and Spark in Databricks;
  • Experience with developing modular, reusable components in Databricks notebooks and workflows;
  • Experience in implementing data validation frameworks to ensure pipeline accuracy and consistency.
Similar roles

Keep a backup shortlist.

Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, CI/CD, PythonPrimary skills
Location1 accepted countryEligibility

Stack

Use these tags to compare similar remote roles.

Location eligibility

Candidates should apply only when their profile country is listed here.

Your profileCountry not setSign in to check your country against this role.

Hiring flow

WithMira shows the role, then sends candidates to the company application.

1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.
Apply on company siteCompany siteOpen link