jpmorgan-chase-%26-co. - Plano, TX, United States | 2024-09-05 23:47:20

We have an opportunity to impact your career and provide an adventure where you can push the limits of what`s possible.

As a Lead Software Engineer at JPMorgan Chase within the CORPORATE SECTOR, ENTERPRISE TECHNOLOGY, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Experience in design and maintain a scalable and efficient data architecture to support financial reporting processes.
• Experience integrating different data sources by utilizing data modeling tools and software (e.g. SQL, Python, SparkSQL, PySpark) and data visualization tools(e.g. Tableau, ThoughtSpot)
• Proficient in SDLC CI/CD Execution (GitHub, Jenkins, SNOR, Spinnaker, AIM etc.)
• Experience across the data lifecycle, Advanced at SQL (e.g., joins and aggregations)
• Programming languages like Python, Scala, R and/or Java
• Experience at Git, Scripting, Cloudformation / Terraform
• Working experience on NoSQL and/or RDBMS databases, ACID, Data Modelling, OLTP, OLAP, Normalization, Denormalization
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Considerable experience on Distributed Systems like Hadoop, Spark, MapReduce, Kafka

• Sizable experience with AirFlow, Luigi, NiFi, Databricks, Snowflake is a plus
• Experience customizing changes in a tool to generate data product
• Provide mentorship, training, and guidance to team members. 
• Work closely with analytics teams to leverage data for financial analysis and forecasting

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