Data Engineer

BENGALURU, KARNATAKA, India

Oracle

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Job Description:

The Oracle Guided Learning development team is responsible for designing, developing, and maintaining world class Digital Adoption Platform (DAP) that serves millions of employees world-wide. As a member of the OGL development team, you will work with global colleagues to create modern, robust, scalable applications. In addition to technical and programming talent, our developers need to be customer focused, exhibit excellent communication skills, work well in a global team environment, be self-motivated and be willing to take on varied tasks to ensure the success of our projects. Excellent command of spoken and written English is essential.

We are looking for a talented and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data architecture, ETL processes, and data warehousing. As a Data Engineer, you will design, build, and maintain the infrastructure that enables the efficient storage, transformation, and retrieval of large datasets.

 

  Requirements:
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (Master’s preferred).
  • Proven 5-8 year experience as a Data Engineer or in a similar role.
  • Strong programming skills in Python, Java, or Scala.
  • Proficiency in SQL and experience with relational and non-relational databases.
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
  • Strong understanding of ETL/ELT processes and data integration techniques.
  • Excellent problem-solving skills and attention to detail.
  • Confident team player, with outstanding verbal and written communications skills.
Nice to have:
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge of data governance and data quality frameworks.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with real-time data processing and streaming technologies.

Career Level - IC3

 

Responsibilities:
  • Present findings and recommendations to both technical and non-technical audiences.
  • Design, develop, and optimize scalable data pipelines and ETL processes.
  • Build and maintain robust data architectures and data warehouses.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
  • Ensure data integrity, accuracy, and security across all data platforms.
  • Develop and implement data models and schemas to support analytics and reporting.
  • Monitor and troubleshoot data pipelines and infrastructure to ensure reliability and performance.
  • Automate repetitive tasks to improve efficiency and reduce manual intervention.
  • Stay current with industry best practices and emerging technologies in data engineering.
 

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

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Engineering Jobs

Tags: Architecture AWS Azure Big Data BigQuery CI/CD Computer Science Data governance Data pipelines Data quality Data Warehousing DevOps Docker ELT Engineering ETL GCP Google Cloud Hadoop Java Kafka Kubernetes Oracle Pipelines Python RDBMS Redshift Scala Security Snowflake Spark SQL Streaming

Perks/benefits: Career development Insurance

Region: Asia/Pacific
Country: India

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