Enter a job title or keyword
AWS Databricks Data Engineer – AWS Python ETL
Job Location:
Monthly Salary:
Experience Required:
Posted:
17 September 2026 (Yesterday)
Posted:
Application Deadline:
15 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
AWS Databricks Data Engineer AWS / Python / ETL
Job Description
We are seeking a highly experienced Senior Data Engineer with strong expertise in Databricks AWS modern data architecture and data modeling to design and build scalable enterprise data platforms. The role will lead the development of data pipelines analytics assets and data foundations supporting various enterprise data solutions. This is a senior-level autonomous role requiring strong technical leadership consultative problem-solving and architecture expertise.
Key Responsibilities
Design develop and optimize scalable data pipelines using Databricks (PySpark Delta Lake Unity Catalog Lakeflow) and AWS (S3 Glue Lambda Step Functions Redshift).
Lead data ingestion transformation and modeling initiatives for enterprise data platforms.
Define and implement robust data models supporting analytics reporting and AI/ML use cases.
Gather and translate complex business requirements into scalable technical solutions.
Establish data quality monitoring testing and operational best practices across data platforms.
Mentor engineers drive architecture standards and lead end-to-end solution delivery.
Support strategic initiatives including AI readiness data unification metadata management and enterprise integration programs.
Required Skills & Experience
12 years of experience in Data Engineering Data Architecture or large-scale distributed data systems.
Expert knowledge of AWS Data Services and Databricks/Spark ecosystem.
Strong expertise in data modeling (Dimensional Canonical Data Vault Domain-Driven).
Advanced SQL and Python development skills with ETL/ELT experience.
Experience with CI/CD GitHub DevOps practices automated testing and production deployments.
Proven ability to work independently and lead solutions in ambiguous business environments.
Preferred Qualifications
Experience in Asset Management Wealth Management or Financial Services.
Knowledge of data quality frameworks metadata management dbt semantic layers or data mesh concepts.
Bachelors degree in Computer Science Engineering Information Systems or related field (or equivalent experience).
Required Skills:
Java
