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Job Description & How to Apply Below
Location
– Remote
Experience
– 2–5 years
Notice Period
– Immediate to 30 days (max)
About Fluidata
We build practical, high-performance data systems for fast-growing companies. Our team works across the full stack - data engineering, analytics, automation, and AI - to turn messy operational data into insights leaders can rely on.
Our team is made up of people who learn fast, build with intention, and work directly on challenges that shape how organizations operate and make decisions. We’re growing quickly and are looking for people who want to grow with us.
Key Responsibilities
Design, develop, and maintain scalable analytics and reporting solutions using Oracle Analytics Cloud (OAC)
Build and optimize data models, dashboards, and reports (including formats like Excel, Word, PDF, etc.) on OAC for business intelligence and analytics use cases
Write efficient and complex SQL queries for data extraction, transformation, validation, and reporting
Work with data warehouses/data lakes to integrate and manage structured and semi-structured data
Develop and optimize ETL/ELT workflows for data ingestion and transformation
Collaborate directly with clients and business stakeholders to gather requirements and translate them into technical solutions
Ensure data accuracy, consistency, governance, and security best practices across reporting systems
Perform data analysis and troubleshooting to resolve reporting and data quality issues
Work closely with cross-functional teams including analysts, engineers, and business users
Create technical documentation and present progress updates, insights, and recommendations to clients
Support performance tuning and optimization of reporting queries and data models
Stay updated with evolving Oracle Analytics Cloud features and modern data engineering best practices
Exposure to Snowflake and cloud-based analytics ecosystems is an added advantage
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or related field
2+ years of experience in Data Engineering, BI Engineering, or related roles
Strong hands-on experience with Oracle Analytics Cloud (OAC)
Advanced proficiency in SQL (joins, CTEs, window functions, query optimization)
Strong understanding of Data Warehouse/Data Lake concepts and data modeling
Experience building and managing ETL/ELT pipelines
Experience working with cloud platforms (AWS/GCP/Azure preferred)
Knowledge of Snowflake is preferred
Understanding of BI reporting, dashboards, and analytics workflows
Strong problem-solving, communication, and stakeholder management skills
Prior client-facing or consulting experience is highly preferred
What We Offer
Fully remote work setup
Daily collaboration and guidance from the management team
Competitive compensation packages that reward high performance
Exciting career growth paths toward leadership and continuous learning opportunities
Collaborative and supportive team environment
Opportunity to work with a prominent client base and high-impact projects
Exposure to modern data engineering and analytics ecosystems
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