Oracle

Software Developer 3

Job Description

MS or BS in Computer Science or Equivalent

4-6+ years of relevant experience

Key Responsibilities:

Feature Engineering Pipelines

  • Design and implement data pipelines for feature extraction, transformation, and enrichment at scale using tools like Apache Spark, Airflow, or Prefect.
  • Collaborate with data scientists to automate and optimize feature engineering workflows.
  • Develop real-time and batch processing pipelines to support machine learning and analytics workloads.
  • Ensure pipelines are resilient, maintainable, and scalable to handle large volumes of structured and unstructured data.

Secure Data Storage & Management

  • Architect and manage secure storage solutions leveraging relational (SQL) and non-relational (NoSQL) databases like Oracle, DynamoDB, and MongoDB.
  • Implement encryption techniques, data masking, and role-based access controls (RBAC) to safeguard sensitive data.
  • Establish data retention policies and backup strategies to ensure compliance with data privacy regulations.
  • Track data lineage and manage metadata using tools like Apache Atlas or DataHub.

Data Infrastructure & Tools

  • Build and manage scalable ETL/ELT pipelines to streamline data ingestion and transformation processes.
  • Leverage cloud-based services (AWS, GCP, Azure) for secure storage and data processing.
  • Integrate distributed systems like Hadoop and Kafka for high-volume data handling.

Collaboration & Leadership

  • Partner with data science and analytics teams to understand feature engineering needs and translate them into technical solutions.
  • Lead efforts to enhance the security and reliability of data pipelines and storage systems.
  • Mentor junior engineers on best practices in data engineering and secure software design.
Qualifications:
  • Strong background in data structures, algorithms, and system design.
  • Hands-on experience with feature engineering pipelines, ETL/ELT tools, and secure data storage solutions.
  • Proficiency in programming languages like Python, Java, or Scala.
  • In-depth knowledge of data privacy regulations and compliance requirements.
  • Familiarity with distributed systems, real-time data processing, and cloud platforms.

This role offers the chance to work on cutting-edge data engineering challenges, ensuring secure and efficient handling of large-scale data. If you are passionate about building feature-rich and secure platforms, we encourage you to apply.

Career Level - IC4


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