As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking - Digital, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Name of the
Organization: JPMorgan Chase
Requisition
ID: 210538162
Positions: Data
Engineer - Python, AWS, Spark, SQL
Location: Hyderabad
Salary: As per
company Norms
Required
Skills & Qualifications:
- Graduate
- Formal training or certification on software engineering concepts and 2+ years applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Demonstrable ability to code in one or more languages - Python/Scala/Java. Big Data technology (Spark Architecture, Performance tuning ,Spark SQL, Streaming, KAFKA, Entitlements etc., NoSQL databases, SQL (e.g., joins and aggregations)
- Experience across the whole Software Development Life Cycle
- Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis, data driven mindset, experience in data analysis and data mining.
- Basic knowledge of data system components to determine controls needed
- Preferred qualifications, capabilities, and skills:
- Experience working with HR Domain is a strong plus.
- AWS Cloud (Glue, EMR, S3, Athena, Lambda, etc)
Responsibilities:
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
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