Senior Oracle Developer

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI. 🌟 Accomplished Tech Visionary: Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. If your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! 🔮🌐 \n Responsibilities Key Skills: Oracle Database, Stored Procedures, SQL Optimization, Data Analysis Understanding the business requirements Writing code and implementing the proposed solutions Debugging, root cause analysis… Creating data pipelines, versioning and change management Manage the complexity inherent in versioned data pipelines Develop ETL/ELT processes to help extract and manipulate data from multiple sources. Design, build and maintain batch or real-time data pipelines in production. Automate data workflows such as data ingestion, aggregation, and ETL processing. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Train and mentor junior engineers. Qualifications Expert with Oracle Database, Stored Procedures, SQL Optimization, Data Analysis Debugging, Root Cause Analysis Advanced Oracle SQL skills and experience with relational databases and database design. Experience working with cloud-based platform of data lakehouse and ETL such as Databricks.. Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries Experience with data visualization tools like Tableau, PowerBI, AWS QuickSight etc Very good exposure of working on Data Lakes & Data Warehouses solutions Excellent problem-solving, communication, and organizational skills. Desired Experience with the AWS/Azure/GCP data engineering services Knowledge of AWS services viz., S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAM OR Knowledge of Azure services viz., ADF, Azure Synapse Analytics, ADLS Gen2, Azure SQL DB Experience with Big Data technologies like Spark, Map Reduce, Hadoop, Hive What is it like working for 3Pillar Global? At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance. Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments. Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success. Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact. Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth. Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together. \n

The role involves designing and maintaining batch or real-time data pipelines and automating data workflows for ingestion and processing. You will also develop ETL/ELT processes and mentor junior engineers to ensure data accuracy and security.

Candidates must be experts in Oracle Database, SQL optimization, and Python with experience in cloud-based data lakehouses like Databricks. Proficiency in data visualization tools and exposure to AWS, Azure, or GCP data services is highly desired.

• Remote-first approach • Flexibility & Well-being • Growth & Development

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Oracle Database
• Stored Procedures
• SQL Optimization
• Data Analysis
• Python
• Pandas
• NumPy
• Databricks
• Tableau
• PowerBI
• AWS QuickSight
• Data Lakes
• Data Warehouses
• ETL/ELT
• Spark
• Hadoop
• Pipelines
• Workflow Management
• Organizational Skills
• Amazon QuickSight
• Azure Synapse Analytics
• Data Lakehouse
• Data-Driven Decision Making
• Artificial Intelligence
• Amazon Web Services
• Amazon Elastic Compute Cloud
• Software Development
• Microsoft Azure
• Big Data
• Business Requirements
• Change Management
• Communication
• Data Engineering
• Extract Transform Load (ETL)
• Data Visualization
• Data Warehousing
• Relational Databases
• Database Design
• Debugging
• Financial Services
• Apache Hadoop
• MapReduce
• Apache Hive
• Intelligent Agent
• Problem Solving
• Python (Programming Language)
• NumPy (Python Package)
• Oracle Databases
• Oracle SQL Developer
• Power BI

• Data & Analytics
• Software
• Technology
• Engineering
• Consulting
• Oracle Developer
• Software Developers

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week