Hi
Greetings from Conch Technologies Inc
Position: R2R Data Engineer (Record to Report)
Location: Austin, TX (5 days Onsite a week)
Duration: FULL TIME
Summary
The R2R Data Engineer is a technical expert responsible for architecting and implementing enterprise-scale data infrastructure that powers critical financial analytics and reporting for A Finance. This role requires deep technical expertise in modern data engineering practices, including building high-performance ETL/ELT pipelines, designing scalable data models, and implementing robust data quality frameworks that ensure accuracy and consistency across financial systems.
This position demands hands-on experience with cloud-native data platforms, advanced SQL optimization, and programmatic data transformations. The engineer will work cross-functionally with business users, FDT, IS&T, data scientists, and other engineers to develop production-grade data services that support financial close processes, regulatory reporting, and strategic decision-making.
You will be working in enterprise data warehouse (Snowflake), Dataiku and lakehouse environments (AWS S3) to design dimensional models, implement data governance policies, and optimize query performance for large-scale financial datasets.
Key Qualifications
Required Technical Skills:
- 5+ years of advanced Python programming experience including object-oriented design, asynchronous programming, and package development
- Expert-level SQL skills including complex joins, window functions, CTEs, query optimization, and performance tuning in databases
- Hands-on experience designing and implementing data models in Snowflake including time-travel, zero-copy cloning, data sharing, and cost optimization strategies
- Proven experience building production-grade ETL/ELT pipelines processing large volumes of data
- Strong experience with AWS services including S3, Lambda, EC2, IAM, Secrets Manager, and CloudWatch
- Experience implementing data security controls including encryption at rest/in transit, data masking, tokenization, and row-level security
- Hands-on experience with CI/CD pipelines using GitHub
- Strong Git version control skills including branching strategies, pull requests, and code review processes
- Proficiency in shell scripting (Bash) for automation and system administration tasks
Preferred Technical Skills:
- Experience with streaming data platforms (Kafka, Kinesis, Pub/Sub) and real-time data processing frameworks (Spark Streaming, Flink)
- Knowledge of containerization (Docker) and orchestration platforms (Kubernetes, ECS)
- Experience with data catalog and metadata management tools (Alation, Collibra, DataHub)
- Experience with data quality frameworks (Great Expectations, Soda, Monte Carlo)
- Experience building and consuming RESTful APIs using frameworks like FastAPI or Flask
Business & Soft Skills:
- Understanding of financial processes including Record-to-Report (R2R), Order-to-Cash (O2C), Procure-to-Pay (P2P), or financial planning
- Experience working with ERP systems (SAP, Oracle Financials) and extracting data from these platforms
- Strong problem-solving skills with ability to debug complex data issues and performance bottlenecks
- Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
- Experience working in Agile/Scrum environments with cross-functional teams
- Education and Experience
- Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Mathematics, Statistics, or other quantitative discipline required
- 5+ years of professional experience in data engineering roles with demonstrated expertise in building production data systems
- Master's degree in a related field preferred
--Thanks & Regards
Nayak Teketi
Phone : 901-317-3453Email:nayak@conchtech.com
Web: www.conchtech.com