Software Engineer II, PySpark, Databricks

2 weeks ago

Hyderabad, Telangana, India Chase- Candidate Experience page Full time US$ 1,50,000 - US$ 2,00,000 per year

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer II at JPMorgan Chase within the Corporate technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Over 1+ years of practical experience with Spark, SQL, Databricks, and the AWS cloud ecosystem.
  • Expertise in Apache NiFi, Lakehouse/Delta Lake architectures, system design, application development, testing, and ensuring operational stability.
  • Strong programming skills in PySpark and SparkSQL.
  • Proficient in orchestration using Airflow.
  • In-depth knowledge of Big Data and data warehousing concepts.
  • Experience with CI/CD processes.
  • Solid understanding of agile methodologies, including DevOps practices, application resiliency, and security measures.
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Familiarity with Snowflake, Terraform, and LLM.
  • Exposure to cloud technologies such as AWS Glue, S3, SQS, SNS, Lambda, etc.
  • AWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification

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