Lead Software Engineer
6.0/10
JP Morgan Chase
Not specified
Office / on-site
lead
about 1 month ago
May be outdated
techJavaPythonAWSSpark SQLSpark StreamingRelational databasesNo SQL databasesLake formationGlue ETLEMRS3
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The vacancy is strong in task clarity and tech stack but lacks compensation details.
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Description
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, opportunity, inclusion, and respect.
Conditions
- •Snowflake knowledge or experience preferred.
- •In-depth knowledge of the financial services industry and their IT systems.
- •Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service.
Requirements
Requirements
- •Formal training or certification on software engineering concepts and 5+ years applied experience.
- •Hands-on practical experience delivering system design, application development, testing, and operational stability.
- •Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming.
- •Experience coding in one or more Coding languages - Java, Python.
- •Experience with AWS cloud technologies, including S3.
- •Experience with Relational and No SQL databases.
- •Experience with AWS including AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge.
- •Experience in Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD.
- •Experience in AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager.
- •In-depth knowledge of the financial services industry and their IT systems.
- •Practical cloud native experience.
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