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Lead Data Engineer

Openkyber

Lead Data Engineer New York City, NY Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Core Competencies:

  • Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
  • Strong understanding of relational databases, ETL processes, and data modeling.
  • Expertise in system design, architecture, and implementing robust data pipelines.
  • Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
  • Effective communicator with the ability to collaborate with business analysts, users, and global teams.
Key Responsibilities:
  • Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
  • Develop and optimize data models and schemas for efficient data integration and analysis.
  • Lead application development involving Python, Pyspark, SQL, Snowflake, and Databricks platforms.
  • Implement data validation procedures to maintain high data quality standards.
  • Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
  • Provide ongoing support, troubleshooting, and maintenance in production environments.
  • Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
  • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).

For applications and inquiries, contact:View email address on us.fitly.work

Vacancy posted 1 day ago
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