Seeking for a Databricks Engineer responsible for designing, developing, maintaining, and optimizing scalable data pipelines and ETL processes using Databricks, Python, PySpark, and SQL. This role will play a key part in modernizing data platforms and supporting enterprise data initiatives.
Day-to-day Responsibilities:
Create and maintain ETL pipelines and/or migrate existing legacy pipelines (e.g., synapse) to Databricks
Develop scalable data processing solutions using Python, PySpark, and SQL.
Perform data transformation, cleansing, and validation to ensure data quality and consistency.
Optimize data workflows and Spark jobs for performance and efficiency.
Collaborate with business stakeholders, data architects, and development teams to understand requirements and deliver effective solutions.
Monitor, troubleshoot, and resolve data pipeline issues.
Qualifications:
Hands-on experience with Databricks.
Strong programming skills in Python and PySpark.
Strong SQL development and query optimization experience.
Experience designing, developing, and maintaining ETL pipelines.
Experience working with large-scale data processing and analytics solutions.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and collaboration abilities.
Required Skills:
Databricks
Python
PySpark
SQL
Education:
Bachelor's Degree
Numbers & Facts
Location
Washington, DC (Remote)
Skills
Analysis Skillsunmatched
Communication Skillsunmatched
Computer Programmingunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
Identify Issuesunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Query Optimizationunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Team Playerunmatched
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