Big Data / Analytics Developer



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We are seeking a versatile and experienced professional to fill the  role of Data Engineer specific to analytics and Big Data technologies. This position requires a candidate who can seamlessly navigate between designing robust data pipelines and have experience in constructing efficient data warehousing solutions as well as reporting and data modeling. The ideal candidate will have a passion for data architecture, a strong technical background, and the ability to contribute to both data engineering and data warehousing initiatives.

We are looking for Analytics and Big Data experience, data modeling and integration to different systems in the Cloud realm. We would like to have a candidate with experience in Spark, SQL, Python, terraform, Oracle Cloud, Oracle DB, scripting and data warehouse experience. 

Career Level - IC4


   Data Engineering:
       1. Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.
       2. Implement and optimize distributed computing frameworks such as Apache Hadoop, Apache Spark, or Apache Flink to handle big data processing tasks efficiently.
       3. Collaborate with cross-functional teams to understand data requirements and deliver innovative solutions for data ingestion, transformation, and storage.
       4. Monitor and troubleshoot data pipeline performance issues, implementing solutions to improve reliability and efficiency.

   Data Warehousing:
       1. Design dimensional data models and database schemas optimized for analytical queries and reporting needs.
       2. Develop and maintain ETL workflows to extract, transform, and load data from source systems into the data warehouse, ensuring data quality and consistency.
       3. Implement and optimize data warehouse architectures and indexing strategies for efficient data storage and retrieval.
       4. Collaborate with business analysts and stakeholders to understand reporting and analytics requirements and translate them into technical solutions.


   Technical Skills:
       1. Proficiency in programming languages such as Python with experience in SQL databases.
       2. Hands-on experience with big data technologies such as Apache Spark, or Apache Flink, and familiarity with related ecosystem tools.
       3. Experience designing and implementing dimensional data models for data warehousing solutions.
       4. Knowledge of ETL tools and techniques for data integration and transformation.

   Analytical Skills:
       1. Strong analytical and problem-solving skills, with the ability to understand complex data requirements and translate them into technical solutions.
       2. Experience working with stakeholders to gather and analyze business requirements and deliver solutions that meet their needs.

   Communication and Collaboration:
       1. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
       2. Ability to communicate technical concepts to non-technical stakeholders and collaborate with colleagues from diverse backgrounds.

Preferred Qualifications:

   1. Experience with cloud platforms such as OCI, AWS, Azure, or Google Cloud Platform, and proficiency in cloud-based data services.
   2. Familiarity with any one of the data visualization tools such as OBIEE, Tableau, Power BI.
   3. Certification or training in relevant data engineering and data warehousing technologies.

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.


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

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Tags: Architecture AWS Azure Big Data Data pipelines Data quality Data visualization Data warehouse Data Warehousing Engineering ETL Flink GCP Google Cloud Hadoop Oracle Pipelines Power BI Python Spark SQL Tableau Terraform

Perks/benefits: Flex hours Insurance

Region: North America
Country: Mexico

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