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DataBrick Data Engineer

Remote • Posted 8 hours ago • Updated 8 hours ago

Full Time

Remote

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Extract
Transform
Load
Legacy Systems
Code Refactoring
Optimization
Migration
Apache Spark
Caching
Unity
Datastage
IBM InfoSphere DataStage
PySpark
Python
SQL
Shell Scripting
Cloud Computing
DevOps
Amazon Web Services
Continuous Integration
Continuous Delivery
Orchestration
Apache Airflow
Databricks
Workflow

Summary

Job Title: DataBricks Data Engineer

Remote

Full Time Only

Job Summary

The Databricks Data Engineer owns the end-to-end migration strategy, target architecture design, and technical execution of moving legacy ETL workloads to the Databricks Lakehouse. He will establish migration standards, optimize PySpark pipelines, orchestrate complex data workflows, and deploy proprietary automation tools to ensure a seamless, high-performing transition from legacy systems.

Key Responsibilities

Architectural Strategy & Governance

Design the target Databricks Lakehouse architecture utilizing Delta Lake, Photon, and Unity Catalog.
Establish global code refactoring standards, optimization benchmarks, and PySpark best practices.
Resolve highly complex dependency mappings and architect seamless, zero-downtime dual-run strategies.
Lead the technical deployment and integration of specialized migration accelerators

Hands-on Engineering & Optimization

Review automated output from migration tools and manually refactor complex legacy logic into high-performing PySpark notebooks.
Eliminate legacy anti-patterns such as massive row-by-row processing and inefficient lookups.
Optimize PySpark code performance using advanced Spark features including Z-Ordering, partitioning, and caching.
Build robust Databricks Workflows and orchestrate complex DAGs based on comprehensive source lineage.

Technical Skills & Competencies

Core Platforms: Databricks, Delta Lake, Unity Catalog, Photon, DataStage.
Languages & Frameworks: PySpark, Python, SQL, Shell Scripting.
Cloud & DevOps: AWS alongside CI/CD deployment pipelines.
Orchestration: Apache Airflow, Databricks Workflows.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10236892
Position Id: OOJ - 5532-4533-1785450688
Posted 8 hours ago

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