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Oracle Software Developer 4 in HYDERABAD, India

Job Description

MS or BS in Computer Science or Equivalent

6-10+ years of relevant experience

Strong Software Engineering Fundamentals & API Development

  1. Proficiency in Data Structures & Algorithms : Critical for designing efficient systems that handle large-scale data.

  2. System Design : Ability to design scalable, fault-tolerant systems and services.

  3. Coding Skills : Expertise in languages like Java, Python, or Scala, especially for backend systems development.

  4. RESTful Services : Proven experience in designing and building robust APIs for data access and integration.

  5. GraphQL: Knowledge of modern data access technologies for flexible querying.

  6. Microservices Architecture : Experience with creating microservices that handle different aspects of data management.

Data Architecture and Design Patterns

  1. Database Design : Strong knowledge of both relational (SQL) and non-relational (NoSQL) databases like Oracle, MongoDB, Cassandra, or DynamoDB.

  2. Data Modeling : Ability to design and manage data models for efficient storage and retrieval.

  3. Data Warehousing : Experience with data warehouses and ETL processes.

  4. Data Access Controls : Experience with role-based access control (RBAC) and encryption techniques to secure sensitive data.

  5. Metadata Management : Familiarity with tools and processes for tracking data lineage, metadata catalogs (e.g., Apache Atlas, DataHub).

  6. Ability to handle complex data-related challenges, from dealing with incomplete or inconsistent data to optimizing performance.

  7. Strong analytical thinking to derive insights from data and build solutions that improve platform performance.

Data Pipeline and Orchestration

  1. ETL/ELT Tools : Experience with data pipeline orchestration tools like Airflow, Prefect, or Dagster.

  2. Automation & CI/CD : Familiarity with setting up CI/CD pipelines for data infrastructure.

  3. Distributed Systems : Experience with technologies like Hadoop, Spark, Kafka, and Flink for managing large-scale data processing pipelines.

  4. Data Streaming : Familiarity with real-time data processing frameworks (e.g., Apache Kafka, Pulsar, or RabbitMQ).

  5. Cloud Platforms : Hands-on experience with cloud-based data services (AWS, GCP, Azure), including data storage (S3, GCS) and data analytics (EMR, Dataproc).

Leadership and Collaboration

  1. Team Leadership : Ability to mentor junior engineers and guide them in building robust, scalable systems.

  2. Cross-Functional Collaboration : Experience working closely with data scientists, analysts, and other engineers to deliver on the platform’s objectives.

  3. Stakeholder Management : Strong communication skills for presenting technical decisions to non-technical stakeholders.

Career Level - IC4

Responsibilities

Strong Software Engineering Fundamentals & API Development

  1. Proficiency in Data Structures & Algorithms : Critical for designing efficient systems that handle large-scale data.

  2. System Design : Ability to design scalable, fault-tolerant systems and services.

  3. Coding Skills : Expertise in languages like Java, Python, or Scala, especially for backend systems development.

  4. RESTful Services : Proven experience in designing and building robust APIs for data access and integration.

  5. GraphQL: Knowledge of modern data access technologies for flexible querying.

  6. Microservices Architecture : Experience with creating microservices that handle different aspects of data management.

Data Architecture and Design Patterns

  1. Database Design : Strong knowledge of both relational (SQL) and non-relational (NoSQL) databases like Oracle, MongoDB, Cassandra, or DynamoDB.

  2. Data Modeling : Ability to design and manage data models for efficient storage and retrieval.

  3. Data Warehousing : Experience with data warehouses and ETL processes.

  4. Data Access Controls : Experience with role-based access control (RBAC) and encryption techniques to secure sensitive data.

  5. Metadata Management : Familiarity with tools and processes for tracking data lineage, metadata catalogs (e.g., Apache Atlas, DataHub).

  6. Ability to handle complex data-related challenges, from dealing with incomplete or inconsistent data to optimizing performance.

  7. Strong analytical thinking to derive insights from data and build solutions that improve platform performance.

Data Pipeline and Orchestration

  1. ETL/ELT Tools : Experience with data pipeline orchestration tools like Airflow, Prefect, or Dagster.

  2. Automation & CI/CD : Familiarity with setting up CI/CD pipelines for data infrastructure.

  3. Distributed Systems : Experience with technologies like Hadoop, Spark, Kafka, and Flink for managing large-scale data processing pipelines.

  4. Data Streaming : Familiarity with real-time data processing frameworks (e.g., Apache Kafka, Pulsar, or RabbitMQ).

  5. Cloud Platforms : Hands-on experience with cloud-based data services (AWS, GCP, Azure), including data storage (S3, GCS) and data analytics (EMR, Dataproc).

Leadership and Collaboration

  1. Team Leadership : Ability to mentor junior engineers and guide them in building robust, scalable systems.

  2. Cross-Functional Collaboration : Experience working closely with data scientists, analysts, and other engineers to deliver on the platform’s objectives.

  3. Stakeholder Management : Strong communication skills for presenting technical decisions to non-technical stakeholders.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

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