Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Py. Spark Good to have skills : Python (Programming Language) Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are seeking an experienced Senior Data Engineer to design, develop, and optimize enterprise-scale data products capable of processing high-volume, complex datasets.

The ideal candidate has deep expertise in Py. Spark, distributed data processing, and performance optimization, with a strong understanding of modern Lakehouse architectures and cloud-native data platforms. Roles & Responsibilities: Design, develop, and maintain scalable data products using Py. Spark and Spark SQL. Build reusable, modular, and production-ready data pipelines supporting enterprise analytics and AI use cases.

Develop data models for structured, semi-structured, and streaming data. Performance Engineering Optimize complex Py. Spark transformations and Spark SQL queries processing billions of records. Improve application performance through: Efficient partitioning strategies Data skew mitigation Broadcast joins Bucketing and sorting Caching and persistence Predicate pushdown Adaptive Query Execution (AQE) File compaction and optimization Analyze Spark execution plans and identify performance bottlenecks.

Optimize memory utilization, shuffle operations, executor configuration, and cluster resource consumption. Large-Scale Data Processing Build pipelines capable of handling TB to PB-scale datasets. Process batch and near real-time data efficiently while maintaining SLA commitments. Ensure scalability, resiliency, and fault tolerance of distributed workloads.

Data Quality & Reliability Implement automated data validation and reconciliation checks. Develop monitoring, alerting, and logging for production pipelines. Perform root cause analysis for production failures and implement preventive improvements. Cloud & Lakehouse Engineering Develop solutions on cloud-based data platforms.

Work with Delta Lake, Iceberg, or Parquet-based architectures. Optimize storage layout, partitioning, and file management for improved query performance. Collaboration Partner with architects, product owners, analysts, and data scientists to translate business requirements into scalable data products. Participate in design reviews, code reviews, and architecture discussions.

Mentor junior engineers on Py. Spark best practices and performance tuning. Professional & Technical Skills: Python Py. Spark Spark SQL SQL (Advanced) Additional Information: Big Data Apache Spark Distributed data processing Data partitioning Spark optimization Shuffle optimization Memory tuning 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.

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