Data & Analytics Application Developer

Job Title: Data & Analytics Application Developer

Location: New York, NY Hybrid

Duration: Fulltime/Permanent

Must Have Technical/Functional Skills

Mandatory Skills

· Strong programming experience in Core Java

· Hands-on expertise in Apache Spark

· Proficiency in Python

· Strong knowledge of SQL and Database Design

· Experience with Linux/Unix environments

· Application and Server-Side Development experience

· Experience designing, building, and integrating analytical systems

· Strong understanding of distributed computing and data processing concepts

· Experience with RESTful APIs and system integration

Preferred Skills

· Experience with cloud platforms such as AWS, Azure, or GCP

· Knowledge of data warehousing and big data technologies

· Familiarity with containerization technologies such as Docker/Kubernetes

· CI/CD pipeline implementation experience

· Exposure to messaging platforms such as Kafka

Qualifications

· Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.

· 7+ years of software development experience with enterprise-scale applications.

· Proven experience delivering high-performance analytical and data-intensive solutions.

Key Competencies

· Strong analytical and problem-solving skills

· Excellent communication and stakeholder management abilities

· Ability to work in a fast-paced Agile environment

· Strong debugging and performance optimization expertise

· Ability to mentor junior developers and drive technical excellence Nice-to-Have Domain Experience

· Banking & Financial Services (BFSI)

· Capital Markets

· Risk Analytics

· Regulatory Reporting and Data Platforms

Keywords: Core Java, Apache Spark, Python, SQL, Linux, Big Data, Server-Side Development, Backend Development, Analytical Systems, Distributed Computing, Data Engineering, Application Development, BFSI, Capital Markets.

Roles & Responsibilities

We are seeking a highly skilled Data & Analytics Application Developer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux. The ideal candidate will have hands-on experience in designing, building, and integrating large-scale analytical systems, developing high-performance server-side applications, and implementing data processing solutions for enterprise environments.

The role requires strong problem-solving abilities, application development expertise, and experience working with distributed data processing frameworks.

Key Responsibilities

· Design, develop, and maintain scalable server-side and analytical applications using Core Java and Python.

· Build and optimize large-scale data processing pipelines using Apache Spark.

· Develop and enhance backend services, APIs, and application components.

· Design and implement efficient database solutions using SQL.

· Integrate multiple data sources and analytical platforms to support business requirements.

· Perform application performance tuning, troubleshooting, and optimization.

· Work in L inux environments for deployment, monitoring, and support activities.

· Collaborate with business stakeholders, architects, and development teams to deliver robust solutions.

· Ensure adherence to coding standards, security requirements, and best practices.

· Participate in code reviews, system design discussions, and technical mentoring.