Job Information
Oracle Snowflake Databricks Engineer in BENGALURU, India
Job Description
Snowflake Development:
Design, build, and optimize ETL pipelines within and outside of Snowflake.
Develop scripts using languages like Python, Unix, or other relevant technologies for data loading, extraction, and transformation.
Create and maintain views, stored procedures, and other database objects in Snowflake.
Optimize query performance and troubleshoot data-related issues.
Databricks Integration:
Collaborate with data scientists and analysts to integrate Snowflake with Databricks.
Build and maintain highly scalable data pipelines using Databricks, Azure, AWS, or other cloud platforms.
Design and implement ETL/ELT data pipelines to extract, process, and transform data from various sources.
Work on data insights, machine learning models, and fraud detection within the Databricks environment.
Data Quality and Security:
Implement extensive data quality checks to ensure high-quality data.
Define and enforce data security measures within both Snowflake and Databricks.
Monitor and manage access control for data assets.
Collaboration and Communication:
Collaborate with business leaders to understand organizational goals and align data engineering efforts.
Communicate data trends, insights, and recommendations to business executives.
Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer, with a focus on Snowflake and Databricks.
Strong proficiency in SQL and Snowflake--s Snow SQL.
Familiarity with cloud platforms (Azure, AWS, or Google Cloud).
Experience with ETL/ELT processes, data modeling, and performance optimization.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration abilities.
Additional Notes:
This role offers an exciting opportunity to work at the intersection of Snowflake and Databricks, leveraging the strengths of both platforms.
You’ll contribute to building scalable, reliable, and secure data solutions that drive business insights and innovation.
Ideal to have some background knowledge around Finance / Investment Banking / Fixed Income / OCIO Business
Career Level - IC3
Responsibilities
Snowflake Development:
Design, build, and optimize ETL pipelines within and outside of Snowflake.
Develop scripts using languages like Python, Unix, or other relevant technologies for data loading, extraction, and transformation.
Create and maintain views, stored procedures, and other database objects in Snowflake.
Optimize query performance and troubleshoot data-related issues.
Databricks Integration:
Collaborate with data scientists and analysts to integrate Snowflake with Databricks.
Build and maintain highly scalable data pipelines using Databricks, Azure, AWS, or other cloud platforms.
Design and implement ETL/ELT data pipelines to extract, process, and transform data from various sources.
Work on data insights, machine learning models, and fraud detection within the Databricks environment.
Data Quality and Security:
Implement extensive data quality checks to ensure high-quality data.
Define and enforce data security measures within both Snowflake and Databricks.
Monitor and manage access control for data assets.
Collaboration and Communication:
Collaborate with business leaders to understand organizational goals and align data engineering efforts.
Communicate data trends, insights, and recommendations to business executives.
Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer, with a focus on Snowflake and Databricks.
Strong proficiency in SQL and Snowflake’s Snow SQL.
Familiarity with cloud platforms (Azure, AWS, or Google Cloud).
Experience with ETL/ELT processes, data modeling, and performance optimization.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration abilities.
Additional Notes:
This role offers an exciting opportunity to work at the intersection of Snowflake and Databricks, leveraging the strengths of both platforms.
You’ll contribute to building scalable, reliable, and secure data solutions that drive business insights and innovation.
Ideal to have some background knowledge around Finance / Investment Banking / Fixed Income / OCIO Business
About Us
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When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
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Disclaimer:
Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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