ETL Engineer (migrate pipelines from Cloudera to Databricks)

Data Extraction and ETL, Data Engineer
$ 4,500/month
englishUpper-Intermediate English
senioritySenior
locationUkraine

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Summary

•. Lead and coordinate the migration of ETL pipelines from Cloudera to Databricks.
•. Analyze existing pipelines, dependencies, and pain points, and design the target architecture on Databricks.
•. Start in January 2026
•. Domain: Bank

Are you a talented developer looking for a remote job that lets you show your skills and get decent compensation? Join Upstaff.com, a platform that connects you with hand-picked startups and scale-ups in the US and Europe.

Required Skills

Cloudera, ETL Engineer (migrate pipelines from Cloudera to Databricks)

Cloudera

Databricks, ETL Engineer (migrate pipelines from Cloudera to Databricks)

Databricks

SQL, ETL Engineer (migrate pipelines from Cloudera to Databricks)

SQL

Nice to Have

ETL Pipelines
CI/CD
troubleshooting
Delta lake
Unity
Mlflow
ETL/ELT
Data pipeline design
Apache Spark
Apache Hadoop
Azure
Factory
Synapse
DevOps
Python
PySpark
Git
ID: 800-113-989
Last Updated: 2025-12-15

Main Responsibilities:

  • Lead and coordinate the migration of ETL pipelines from Cloudera to Databricks.
  • Analyze existing pipelines, dependencies, and pain points, and design the target architecture on Databricks.
  • Support the team in troubleshooting and optimizing performance.
  • Communicate with business and technical stakeholders to align priorities and remove blockers.
  • Ensure delivery timelines and quality standards are met.

Technical Skills Required:

  • Strong hands-on experience with Databricks (Delta Lake, Databricks SQL, Unity Catalog, MLflow, Workspace management).
  • Deep understanding of ETL/ELT concepts, data pipeline design, and data orchestration.
  • Experience with Cloudera, Spark, and migration between Hadoop-based and cloud-based platforms.
  • Good knowledge of Azure ecosystem (Data Factory, Synapse, DevOps CI/CD).
  • Strong programming in Python and PySpark.
  • Experience with Git, CI/CD, and deployment automation in Databricks.

Advantage: previous experience as a technical lead or migration architect in similar projects.

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