Databricks Engineer
Onsite at New-York City, NY or Metropark, NJ
6+ months with possible extensions
Exp range : above 12 yrs as this is lead position.
JD:
Strong knowledge on databricks architecture and tools
Have experience of task and wf jobs creations in databricks.
Deep understanding of distributed computing and how to use spark for dataprocessing.
SQL and pyspark : strong command over querying databases and proficiency in pyspark.
Cloud platform: Preferred Azure for databricks deployment.
Responsibilities
Design, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as needed
Optimize data pipelines for performance, scalability, and reliability
Ensure data quality and integrity throughout the data lifecycle
Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data needs
Troubleshoot and resolve data-related issues, and provide root cause analysis and recommendations
Document data pipeline specifications, requirements, and enhancements, and communicate them effectively to the team and management
Create new data validation methods and data analysis tools, and share best practices and learnings with the data engineering community
Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies
Qualifications
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience
5+ years of experience in data engineering with Databricks and Spark
Proficient in SQL and Python and Pyspark
Experience with Azure Databricks Medallion Architecture with DLT, Iceberg
Financial/Corporate Banking context would be a plus
Experience with data integration and ETL tools, such as Azure Data Factory
Experience with Azure cloud platform and services
Experience with data warehouse and data lake concepts and architectures
Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc
Strong analytical and problem-solving skills
Excellent communication and teamwork skills
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.
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