We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support our banking operations and analytics.
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Design, develop, and maintain scalable and efficient data pipelines using Snowflake, Pyspark, and SQL.
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Write optimized and complex SQL queries to extract, transform, and load data.
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Develop and implement data models, schemas, and architecture that support banking domain requirements.
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Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
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Automate data workflows and ensure data quality, accuracy, and integrity.
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Manage and coordinate release processes for data pipelines and analytics solutions.
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Monitor, troubleshoot, and optimize the performance of data systems.
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Ensure compliance with data governance, security, and privacy standards within the banking domain.
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Maintain documentation of data architecture, pipelines, and processes.
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Stay updated with the latest industry trends and incorporate best practices.
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Proven experience as a Data Engineer or in a similar role with a focus on Snowflake, Python, Pyspark, and SQL.
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Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake.
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Hands-on experience with release management, deployment, and version control practices.
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Solid understanding of banking and financial services industry data and compliance requirements.
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Proficiency in Python scripting and Pyspark for data processing and automation.
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Experience with ETL/ELT processes and tools.
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Knowledge of data governance, security, and privacy standards.
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Excellent problem-solving and analytical skills.
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Strong communication and collaboration abilities.
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Expertise in CI/CD practices and implementation.
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Strong financial background experience with regulatory knowledge and compliance requirements.