Description :
We are looking for a skilled BI Engineer to join our team in Bengaluru.
The ideal candidate will have hands-on experience in developing complex SQL queries, working with Oracle Financials databases, and managing large-scale data extraction and processing pipelines using AWS technologies.
You will play a key role in data mining, reporting, and supporting business intelligence initiatives.
Key Responsibilities :
- Develop complex SQL queries involving multiple Oracle tables to extract, analyze, and report data according to business requirements.
- Perform data crunching and mining to generate actionable business insights.
- Build, operate, and maintain highly available, distributed data systems for extraction, ingestion, and processing of large data sets.
- Collaborate with business stakeholders to understand reporting requirements and translate them into technical solutions.
- Design, develop, and automate reports and dashboards to track key business metrics and KPIs.
- Optimize SQL queries and data pipelines for performance and scalability.
- Ensure data quality, integrity, and security throughout data processing workflows.
- Manage ETL processes using AWS Glue, Lambda, and other AWS services to streamline data ingestion and transformation.
- Monitor and troubleshoot data pipelines and AWS resources to ensure reliability and uptime.
- Participate in data architecture and strategy discussions to improve data accessibility and usability.
- Support cross-functional teams by providing insights through data analysis and visualization.
- Document data models, processes, and workflows for team knowledge sharing and audit purposes.
- Stay up-to-date with the latest BI tools, AWS technologies, and industry trends to recommend improvements.
Required Skills & Experience :
Minimum 2+ years experience in developing complex SQL queries with multiple Oracle tables.Strong experience working with Oracle Financials related databases and generating business reports.Proven expertise in building and operating distributed data systems for large data extraction and processing.Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions(ref : hirist.tech)