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1 Mphasis Java Developer Jobs Hiring Near You

Senior Data Engineer

Manhattan, NY · On-site

$116.90K - $158.70K/yr

Advanced SQL, Python (Java/Scala a plus) • Data Engineering: ETL/ELT, streaming & batch processing, data modeling, distributed systems • Modern Architectures: Lakehouse, Apache Iceberg, Data Mesh ...

Mphasis Jobs Information

What are the key skills and qualifications needed to thrive as a Java Developer, and why are they important?

To thrive as a Java Developer, you need strong proficiency in Java programming, object-oriented design, and a solid understanding of software development principles, usually supported by a degree in computer science or related fields. Familiarity with frameworks such as Spring or Hibernate, experience with version control systems like Git, and sometimes certification like Oracle Certified Professional Java Programmer (OCPJP) are commonly required. Effective problem-solving, teamwork, and attention to detail are crucial soft skills in this role. These skills ensure robust, maintainable, and scalable software solutions that meet project requirements and business goals.

What are some common challenges Java Developers face when working on large-scale enterprise applications?

Java Developers working on large-scale enterprise applications often encounter challenges such as managing complex codebases, ensuring efficient performance, and integrating with legacy systems. Collaborating with cross-functional teams is crucial, as these projects typically involve multiple developers, QA engineers, and business analysts. Additionally, maintaining code quality and adhering to best practices while meeting tight deadlines can be demanding. Staying up-to-date with evolving frameworks and tools also plays a key role in overcoming these challenges.

What are Java Developers?

Java Developers are software professionals who specialize in designing, developing, and maintaining applications using the Java programming language. They work on a variety of projects, including web, desktop, and mobile applications, as well as enterprise-level systems. Java Developers are responsible for writing clean and efficient code, testing and debugging programs, and collaborating with other team members to deliver robust software solutions. Their expertise in Java and related technologies is crucial for building scalable and secure applications.

Is AI replacing Java developers?

AI is automating certain coding tasks and improving software development processes, but Java developers are still essential for designing, implementing, and maintaining complex applications. Skills in programming, problem-solving, and understanding AI tools enhance a Java developer's value in the evolving tech landscape.

What is the difference between Java Developer vs Software Engineer?

AspectJava DeveloperSoftware Engineer
Required CredentialsBachelor's in Computer Science or related, Java certificationsBachelor's in Computer Science or related, various certifications
Work EnvironmentDevelops Java-based applications, often in teamsDesigns and develops software solutions, may include Java projects
Employer & Industry UsageTech companies, finance, e-commerceBroad industry, including tech, finance, healthcare

Java Developers focus specifically on Java programming, while Software Engineers have a broader role in designing and developing software solutions across multiple languages. Both roles often require similar educational backgrounds and certifications, but Java Developers typically work more directly with Java-based projects, whereas Software Engineers may handle diverse technologies.

Senior Data Engineer

Mphasis

Manhattan, NY • On-site

$116.90K - $158.70K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Role description
Key Responsibilities
Architect and own scalable, secure, cloud-native data platforms on Google Cloud Platform Design, build, and optimize batch and real-time data pipelines using BigQuery, Dataflow, Pub/Sub, and Dataproc Lead BigQuery performance tuning and cost optimization (partitioning, clustering, query efficiency)
Orchestrate workflows using Cloud Composer (Apache Airflow)
Enable Al/ML and GenAl integration via Vertex Al and BigQuery ML
Enforce data governance, security, reliability, and FinOps best practices
Mentor engineers, conduct design/code reviews, and set enterprise data engineering standards
• Collaborate with product, analytics, and data science teams to deliver business-critical insights
Key Skill Sets
• GCP Data Services: BigQuery, Dataflow (Apache Beam), Pub/Sub, Cloud Storage, Cloud Composer, Dataproc
• Programming & SQL: Advanced SQL, Python (Java/Scala a plus)
• Data Engineering: ETL/ELT, streaming & batch processing, data modeling, distributed systems
• Modern Architectures: Lakehouse, Apache Iceberg, Data Mesh concepts
• Al/ML Enablement: Vertex Al, BigQuery ML, GenAl-ready pipelines DevOps & laC: Terraform, CI/CD, DataOps practices
Leadership: Architecture ownership, mentoring, stakeholder communication, problem solving
• Certification: Google Cloud Professional Data Engineer (strongly preferred / often mandatory)
In addition to big query, storage bucket, following are necessary skills - data flow, composer, cloud scheduler, Pubsub and Kafka, Apigee gateway and API, Dataplex, basic knowledge of network connectivity (knowledge on data catalog, DLP, BQDTS, STS and other data transfer methodologies). Reporting background (powerbi) and ICEBERG are MUST. Data virtualization (Trenio or equivalent), Looker and GCP vertex will be a plus.