Principal Data Engineer

Ll Oefentherapie; Bengaluru; On-site; INR 140,000 - 180,000; Full time

Job summary

Ll Oefentherapie is seeking a Principal Data Engineer in Bengaluru. This role involves transforming data into actionable insights while collaborating with data scientists and business stakeholders. You'll design and optimize data infrastructure, ensuring high-quality datasets for strategic analysis.

With a focus on advanced statistical techniques and big data frameworks, the ideal candidate will have extensive experience in data engineering and analytics, particularly in Oracle environments. Opportunities for mentorship and knowledge sharing are also integral to this position.

Qualifications

• 7+ years of experience in data engineering and analytics.
• Deep knowledge of big data frameworks including Apache Spark.
• Proficiency in Python, especially with libraries like pandas and NumPy.

Responsibilities

• Analyze and interpret complex data sets to generate insights.
• Apply statistical analysis and predictive modeling techniques.
• Mentor junior team members and share best practices.

Skills

Data Analysis

Apache Spark

Statistical Analysis

Python

SQL

Tools

Tableau

Oracle Data Integrator

Job description

BENGALURU, KARNATAKA, India
HYDERABAD, TELANGANA, India

• Job Identification 334930
• Job Category Product Development
• Posting Date 05/27/2026, 08:11 PM
• Job Type Regular Employee
• Does this position require a security clearance? No
• Years 6 to 10+ years
• Additional Info Visa / work permit sponsorship is not available for this position
• Applicants are required to read, write, and speak the following languages English

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.

Required Skills

• Data Analysis

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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.