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Skill: Python PySpark SQL (Senior Data & AWS Cost Optimization Engineer)

Exp: 8 to 12 years

Loc: Noida, Pune, Mumbai, Chennai, Bangalore, Hyderabad, Kolkata

NP: Immediate to 30 Days

Job Title : Senior Data & AWS Cost Optimization Engineer

Engagement Context

Following the Oracle EBS → Fusion migration, Broadridge has observed a significant increase (≈4x) in AWS costs. Initial analysis has identified 8–9 key hotspots driving compute and processing expenses. The immediate focus is to optimize data queries, stored procedures, batch jobs, and Glue pipelines, followed by a comprehensive review of end‑to‑end processes and AWS infrastructure setup for sustained cost reduction and performance improvements.

Role Objective

The resource will play a hands‑on role in identifying, analyzing, and resolving AWS cost hotspots by optimizing data processing workloads, SQL logic, and AWS services, while also providing architectural guidance on infrastructure efficiency

Key Responsibilities

- Analyze AWS cost drivers and investigate identified hotspots post EBS → Fusion migration
- Optimize SQL queries, stored procedures, and batch execution patterns
- Review and tune Python and PySpark-based data pipelines
- Analyze, configure, and optimize AWS Glue jobs for performance and cost efficiency
- Use AWS CloudWatch and monitoring metrics to identify bottlenecks, retries, over‑provisioning, and inefficiencies
- Review AWS infrastructure configuration (compute sizing, execution model, orchestration, job concurrency)



and recommend cost‑effective improvements
- Collaborate closely with Broadridge data, platform, and application teams
- Assist with validation of improvements and ensure measurable cost reduction
- Document findings, recommendations, and implemented optimizations clearly

Required Skills & Experience

Core Technical Skills

- Strong, hands‑on experience in:
- Python
- PySpark
- SQL (query optimization and performance tuning)
- AWS Glue
- AWS CloudWatch
- Experience working with large-scale batch processing and data workloads
- Robust understanding of AWS cost drivers and execution patterns (compute, memory, retries, parallelism, scaling)

Infrastructure & Architecture

- Ability to review and assess AWS infrastructure setup
- Experience providing architectural guidance for cost optimization and tuning

Soft Skills

- Strong analytical and problem‑solving skills
- Ability to work in a fast‑paced, high‑urgency environment
- Clear communicator with good stakeholder and team interaction skills
- Ability to work independently and take ownership of outcomes

Experience Level

- 8–12+ years of overall experience
- Prior experience in AWS cost optimization, post‑migration stabilization, or performance tuning engagements is strongly preferred

Offshore Expectations

Offshore Resources

- Execute hands‑on optimization across SQL, Glue jobs, PySpark and Python code
- Support analysis, tuning, validation, and documentation activities
- Work closely with onsite or client stakeholders as required

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