Principal Data Engineer

Oracle; Hyderabad; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Oracle is seeking a Principal Data Engineer to design scalable data pipelines, optimize data infrastructure, and ensure high-quality datasets for strategic analysis. You will engage with data scientists and business stakeholders to transform raw data into insights, using regression, trend forecasting, and time-series modelling to support decision-making.

You will work in Oracle ADW/OCI environments, ensure data quality, and mentor junior team members while collaborating with cross-functional

Qualifications

• 7+ years of experience in data engineering and analytics with scalable database architectures and data pipelines.
• Deep knowledge of big data frameworks (Spark, Flink, Airflow, Presto, Kafka) and data warehousing solutions.
• Experience collaborating with cloud platform teams and supporting compute, networking, search, and storage requirements.

Responsibilities

• Analyze and interpret complex data sets to generate insights that influence business strategy.
• Apply advanced statistical analysis and predictive modelling to identify trends and predict outcomes.

Skills

Data engineering

Statistical analysis

Python

SQL

ETL

Big data frameworks

Data warehousing

Mentoring

Tools

Spark

Flink

Airflow

Presto

Kafka

Oracle ADW/OCI

ODI

Job description

Job Description

As a Principal Data Engineer, you will be at the forefront of Oracle’s 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 it’s 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.

Responsibilities

As a Principal Data Engineer on the Marketplace team, you will be responsible for analysing and interpreting complex data sets 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.

Qualifications

Career Level - IC4

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life‑saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people 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 emailing [e-mail] or by calling 1-888-404-2494 in the United States.

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.