Principal Data Engineer

As a Principal Data Engineer you will be at the forefront of Oracles data initiatives playing a pivotal role in transforming raw data into actionable insights. Collaborating with data scientists and business stakeholders you will design scalable data pipelines optimize data infrastructure and ensure the availability of high-quality datasets for strategic analysis. This role goes beyond data engineering requiring hands-on involvement in statistical analysis and predictive modeling. You will use techniques such as regression analysis trend forecasting and time-series modeling to extract meaningful insights from data directly supporting business decision-making.

Basic Qualifications:

• 7 years of experience in data engineering and analytics with a strong background in designing scalable database architectures building and optimizing data pipelines and applying statistical analysis to deliver strategic insights across complex high-volume data environments
• Deep knowledge of big data frameworks such as Apache Spark Apache Flink Apache Airflow Presto Kafka and data warehouse solutions.
• Experience working with other cloud platform teams and accommodating requirements from those teams (compute networking search store).
• Excellent written and verbal communication skills with the ability to present complex information in a clear concise manner to all audiences
• Design and optimize database structures to ensure scalability performance and reliability within Oracle ADW and OCI environments. This includes maintaining schema integrity managing database objects and implementing efficient table structures that support seamless reporting and analytical needs.
• Build and manage data pipelines that automate the flow of data from diverse sources into Oracle databases using ETL processes to transform data for analysis and reporting.
• Conduct data quality assessments identify anomalies and validate the accuracy of data ingested into our systems. Working alongside data governance teams you will establish metrics to measure data quality and implement controls to uphold data integrity ensuring reliable data for stakeholders.
• Mentor junior team members and share best practices in data analysis modeling and domain expertise.

Preferred Qualifications:

• Solid understanding of statistical methods hypothesis testing data distribution regression analysis and probability.
• Proficiency in Python for data analysis and statistical modeling. Experience with libraries like pandas NumPy and SciPy.
• Knowledge of methods and techniques for data quality assessment anomaly detection and validation processes. Skills in defining data quality metrics creating data validation rules and implementing controls to monitor and uphold data integrity.
• Familiarity with visualization tools (e.g. Tableau Power BI Oracle Analytics Cloud) and libraries (e.g. Matplotlib Seaborn) to convey insights effectively.
• Strong communication skills for collaborating with stakeholders and translating business goals into technical data requirements.
• Ability to contextualize data insights in business terms and to present findings to non-technical stakeholders in a meaningful way.
• Ability to cleanse transform and aggregate data from various sources ensuring its ready for analysis.
• Experience with relational database management and design specifically in Oracle environments (e.g. Oracle Autonomous Data Warehouse Oracle Database).
• Skills in designing maintaining and optimizing database schemas to ensure efficiency scalability and reliability.
• Advanced SQL skills for complex queries indexing stored procedures and performance tuning.
• Experience with ETL tools such as Oracle Data Integrator (ODI) or other data integration frameworks.

As a Principal Data Engineer on the Marketplace teamyou will be responsible for analysing and interpreting complex datasets to generate insights that directly influence business strategy and decision-making. You will apply advanced statistical analysis and predictive modelling techniques to identify trends predict future outcomes and assess data quality. These insights will drive data-driven decisions and strategic initiatives across the organization.

Career Level - IC4