Delivery Manager-Data Engineer
Acuity Analytics (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data pipelines and analytical workflows using Databricks, Python, PySpark, and AWS for a Global Capital Markets platform modernization.
- Collaborate with Front Office, Product Owners, Risk, Quant Analysts, and Technology teams to deliver production-ready, high-performance data solutions supporting trading systems for FX Cash, Cleared IRS, and new products.
- Support migration and modernization initiatives including data platform cloud transformation, define data-quality standards, and participate in Agile delivery and CI/CD processes.
Minimum Requirements
- 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering roles.
- Strong hands-on experience with Databricks on AWS, Spark architecture, and performance tuning.
- Advanced skills in Python, PySpark, and AWS services including S3, Glue, Lambda, CloudWatch.
- Experience building scalable ETL/ELT pipelines, modern data lake architectures, and developing APIs using FastAPI or similar frameworks.
Ideal Candidate Profile
- Experienced data engineer with expertise in capital markets data, especially FX Cash, Cleared IRS, and derivatives products.
- Demonstrates ability to work cross-functionally with business stakeholders and technology teams in regulated financial services environments.
- Proven track record in large-scale platform modernization, migration programs, and implementing cloud-based distributed data processing solutions.