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Sr Databricks Engineer Databricks Spark Azure
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Sr Databricks Engineer Databricks Spark Azure

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1 Vacancy
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Job Location

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New - USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2762292
Job Title: Sr. Databricks Engineer (Databricks Spark Azure)
Location: New York / Iselin NJ / Charlotte NC (100% Onsite from Day 1 from any of these locations)
Duration: 12 Months
Years of Experience: 5 Yrs.
Notes:
  • Financial/Banking experience is mandatory and candidates should be local or from EST ready to relocate
  • Duties and 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 datarelated 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
  • Skills and Experience:

    • Bachelors 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 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 problemsolving skills
    • Excellent communication and teamwork skills

    Employment Type

    Full Time

    Company Industry

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