Senior Oracle Developer

3Pillar

7d • Remote

About The Position

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.

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!

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed