Job Summary :

We are seeking an experienced AWS Data Engineer with 8+ years of expertise in designing, building, and managing large-scale data platforms. The ideal candidate will be responsible for developing scalable ETL pipelines, enabling efficient data ingestion, and delivering high-performance data solutions across enterprise data ecosystems. The role requires strong hands-on experience with Apache Spark, cloud-native data services, big data technologies, and cloud-based data architectures.

Key Responsibilities :

- Design, develop, and maintain large-scale data platforms and data processing solutions.

- Build robust, scalable, and high-performance ETL pipelines using Apache Spark (Scala/Python).

- Develop and optimize data ingestion frameworks for Enterprise Data Warehouses, Data Lakes, and Data Mesh architectures.

- Implement cloud-native data solutions leveraging AWS services.

- Collaborate with cross-functional teams to define and deliver data engineering solutions.

- Ensure data quality, reliability, scalability, and performance across data pipelines.

- Monitor, troubleshoot, and optimize data processing workflows and system performance.

- Support cloud orchestration and automation of data engineering processes.

- Participate in data architecture discussions and contribute to platform enhancements.

- Create and maintain technical documentation, design documents, and operational procedures.

- Follow best practices for data engineering, performance optimization, and cloud-native development.

Required Skills & Experience :

- 8+ years of experience in Data Engineering and large-scale data platform development.

- Strong expertise in Apache Spark using Scala and/or Python.

- Experience designing and building complex ETL pipelines.

- Hands-on experience with AWS cloud-native data services.

- Strong understanding of Big Data technologies and distributed data processing.

- Experience with Enterprise Data Warehouses, Data Lakes, or Data Mesh architectures.

- Knowledge of cloud orchestration and data platform management.

- Strong focus on performance tuning and optimization of data pipelines.

- Experience working in cloud-based environments and data-driven ecosystems.

- Excellent analytical, problem-solving, collaboration, and documentation skills.