Software Engineer III - Data Engineering

8 - 13 years

30 - 35 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

The Planning and Analysis - Data Platform Team (FPNAE) is at the forefront of managing and optimizing fice-related data. We focus on effective data lake utilization, data goverce, and seamless data integration through advanced ETL processes. Our goal is to deliver high-quality, timely data in a controlled manner, reducing risk and cost. We are looking for a Senior Application Engineer skilled in AWS, event-promoten architecture, RESTful API design, and modern application development, with expertise in Python frameworks, database management, and Databricks for data engineering.

Key Responsibilities

  • Design and Develop Cloud-Native Applications

    Architect, build, and maintain scalable applications on AWS using event-driven patterns (e.g., Lambda, SNS/SQS, EventBridge).
  • API Development

    Create robust RESTful APIs using Python frameworks such as FastAPI and Django, ensuring high performance and security.
  • Database Engineering

    Design, implement, and optimize operational databases, primarily PostgreSQL, including schema design, indexing, and query optimization.
  • Data Engineering Analytics

    Collaborate with data teams to integrate applications with Databricks, supporting ETL pipelines, data processing, and analytics workflows.
  • Application Lifecycle Management

    Participate in the full software development lifecycle, including requirements gathering, design, coding, testing, deployment, and maintece.
  • DevOps Automation

    Implement CI/CD pipelines, automate deployments, and monitor application health using AWS-native and third-party tools.
  • Collaboration Documentation

    Work closely with cross-functional teams (product, data, infrastructure) and document technical solutions, architecture, and best practices.
Required qualifications, capabilities and skills
  • AWS Expertise

    Proven experience with AWS services (EC2, Lambda, S3, RDS, SNS/SQS, EventBridge, IAM, CloudFormation).
  • Event-Driven Architecture

    Strong understanding and practical experience designing event-driven systems and microservices.
  • RESTful API Development

    Deep knowledge of REST principles and hands-on experience building APIs with FastAPI and Django.
  • Python Programming

    Advanced proficiency in Python, with experience in application engineering and scripting.
  • Database Management

    Solid experience with PostgreSQL, including performance tuning and operational management.
  • Databricks Knowledge

    Good understanding of Databricks platform, Spark, and data engineering concepts.
  • DevOps Practices

    Experience with CI/CD, infrastructure as code, and application monitoring.
  • Soft Skills

    Excellent problem-solving, communication, and teamwork abilities.

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JPMorgan Chase Bank logo
JPMorgan Chase Bank

Financial Services

New York

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