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JPMorgan Chase

investment banking · commercial banking

Software Engineer - Data Analytics

IndiaPosted 3 months ago
Software engineeringMid-levelFull Time; Regular
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Role Overview: As a member of the team, your role will involve developing and maintaining data pipelines for financial data analysis. You will be responsible for designing and implementing efficient data processing systems to support the organization's data analysis needs. Key Responsibilities: - Design, develop, and maintain data pipelines for financial data analysis. - Develop data models and algorithms for insights extraction. - Utilize SQL and NoSQL databases for data processing. - Collaborate closely with data scientists and business stakeholders. - Implement data governance and security policies to ensure data integrity and protection. - Ensure high data quality standards are maintained throughout the data pipelines. Qualification Required: - Bachelor's degree in Computer Science or a related field. - Proven experience with data warehousing and ETL processes. - Proficiency in SQL and NoSQL databases. - Familiarity with data visualization tools. - Understanding of financial markets is considered a strong asset. Please note that the job description also includes benefits such as competitive compensation and benefits, opportunities for professional development, a collaborative and innovative work environment, as well as health insurance, paid time off, and more. Overall, a typical day in this role would involve working on various data processing tasks, developing reports, and actively collaborating with team members to support the organization's data analysis efforts. Role Overview: As a member of the team, your role will involve developing and maintaining data pipelines for financial data analysis. You will be responsible for designing and implementing efficient data processing systems to support the organization's data analysis needs. Key Responsibilities: - Design, develop, and maintain data pipelines for financial data analysis. - Develop data models and algorithms for insights extraction. - Utilize SQL and NoSQL databases for data processing. - Collaborate closely with data scientists and business stakeholders. - Implement data governance and security policies to ensure data integrity and protection. - Ensure high data quality standards are maintained throughout the data pipelines. Qualification Required: - Bachelor's degree in Computer Science or a related field. - Proven experience with data warehousing and ETL processes. - Proficiency in SQL and NoSQL databases. - Familiarity with data visualization tools. - Understanding of financial markets is considered a strong asset. Please note that the job description also includes benefits such as competitive compensation and benefits, opportunities for professional development, a collaborative and innovative work environment, as well as health insurance, paid time off, and more. Overall, a typical day in this role would involve working on various data processing tasks, developing reports, and actively collaborating with team members to support the organization's data analysis efforts.

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