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Engaged Employer

JPMorgan Chase & Co.

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4.0

based on 6k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

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688 JPMorgan Chase & Co. Jobs

Senior Lead Software Engineer - AWS, Java/Scala/Python, Spark

JPMorgan Chase

4.0

based on 6k Reviews

5-10 years

Bangalore / Bengaluru

1 vacancy

Senior Lead Software Engineer - AWS, Java/Scala/Python, Spark

JPMorgan Chase & Co.

posted 11hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Operations Product Design Data Processing Agile Coaching Application Development

+ 4 more

Job Description

As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform Engineering - Corporate Technology organization, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

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
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands - on practical experience working in big data environment, working with structured, semi-structured and unstructured data.
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced understanding of one or more object-oriented programming language(s) with expertise in languages such as Scala, Java, Python etc
Proficient in building applications for real-time streaming using Apache Spark Streaming, Apache Kafka, Amazon Kinesis etc for large-scale data processing and open-source frameworks/libraries such as Apache Airflow etc
Proficient in application, data, and infrastructure architecture disciplines.
Proficient in cloud-native architecture, design and implementation across all systems.
Proficient in Event Driven Architecture and Application Containerization.
Proficient in building applications on Public Cloud (AWS, GCP, Azure) development with AWS
Proficient in building on emerging cloud server less managed services, to minimize/eliminate physical/virtual server footprint.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Preferred qualifications, capabilities, and skills

Proficient in designing and developing data pipelines using Databricks Lakehouse to ingest, enrich, and validate data from multiple sources.
Proficient in re-engineering and migrating on-premises data solutions to and for the public cloud.
Proficient in implementing security solutions for data storage and processing in the public cloud.
Proficient understanding of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBase etc

Employment Type: Full Time, Permanent

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