Databricks Engineer - New York, United States - EZDynamic, LLC

EZDynamic, LLC New York, United States

3 weeks ago

Upper Management / Consulting

Description

No Visa sponsorship (Only GC holders or U.S. Citizens may apply)

- Please answer all questions provided. Incomplete submissions will NOT be reviewed - -

Databricks Engineer

Role & Responsibilities

Designing, building, and maintaining medallion architecture-based data pipelines in Databricks platforms
Handling raw data ingestion through Delta Live Tables while ensuring data quality and access latency
Manage enterprise-level complex data and metadata changes in Databricks environment using delta live tables
Utilizing knowledge of Snowflake to offer insight into data warehousing and management
Collaborate with data architects to provide Databricks solutions that align with company objectives
Work in conjunction with data science teams to implement complex statistical models
Ensuring data security and compliance in Databricks and Snowflake environments
Developing and deploying ETL job workflows with an emphasis on automation and scalability
Keeping up-to-date with industry best practices and emerging trends in Databricks technology

Skills

Bachelor's degree in Computer Science, Information Technology, or a related field
Solid experience in Databricks platform, data engineering, and using Delta Live Tables
Experience with medallion architecture in a data lake environment
Proficiency in Snowflake data warehousing platform
Strong understanding of ETL workflows and data pipeline automation
Exceptional knowledge of data structures, data modeling, and database schemas
Highly skilled in SQL, Python, or Scala
Experienced in performance tuning, troubleshooting, and debugging in Databricks environment
Outstanding problem-solving abilities, with an innovative approach to tackling complex challenges
Exceptional communication skills with proven ability to bridge communication gaps between technical and non-technical stakeholders
Ideal candidates are proactive, collaborative, and passionate about data and Databricks technologies

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