Information Technology
Full-Time
Cashfree Payments
Overview
Company Name: Cashfree Payments Pvt Ltd
Job Title: Data Engineer III
Location: Bengaluru
Experience: 6+ years
Employment Type: Full-time
About the Role
We are looking for an experienced Senior Data Engineer (Data Engineer III) to join our data engineering team. The ideal candidate will have deep expertise in Redshift, ClickHouse, and other modern data technologies, with a strong background in data lake architectures, Apache Hudi, Spark, Flink, and Airflow. This role requires hands-on experience in data modeling, building scalable data systems from the ground up, and mentoring junior engineers.
Key Responsibilities
- Design & Develop: Architect and implement scalable data pipelines using Spark, Flink, Airflow, and Apache Hudi to process large-scale data efficiently.
- Database & Storage Optimization: Work extensively with Redshift, ClickHouse, and other databases, optimizing query performance, storage, and cost efficiency.
- Data Lake & ETL Development: Build and manage data lakes and ingestion frameworks using AWS services such as S3, Glue, and EMR.
- Data Modeling & System Design: Design and implement robust data models for structured and semi-structured datasets, ensuring performance, scalability, and maintainability.
- Real-time & Batch Processing: Develop and maintain both real-time and batch data pipelines using technologies like Flink, Spark Streaming, and Kafka.
- AWS & Cloud Infrastructure: Leverage AWS services (S3, Redshift, Lambda, ECS, etc.) to build a scalable and cost-efficient data ecosystem.
- Automation & Orchestration: Manage workflow automation and orchestration using Apache Airflow.
- Mentorship: Guide and mentor junior engineers, conduct code reviews, and contribute to best practices for data engineering.
- Monitoring & Optimization: Implement observability (monitoring, alerting, logging) for data pipelines to ensure reliability and performance.
Required Qualifications
- 6+ years of experience in data engineering, big data processing, and cloud-based data architectures.
- Strong expertise in Redshift, ClickHouse, and other distributed databases.
- Experience with Apache Spark, Flink, Apache Hudi, and Airflow.
- Deep knowledge of data modeling, schema design, and database optimization.
- Hands-on experience in building data pipelines on AWS (S3, Glue, Redshift, EMR, Lambda, etc.).
- Proficiency in Python, SQL, and Scala for data engineering tasks.
- Experience in mentoring and leading junior engineers in best practices.
- Strong problem-solving skills and ability to work in fast-paced environments.
Preferred Qualifications
- Experience with CI/CD pipelines for data engineering workflows.
- Familiarity with streaming data technologies (Kafka, Kinesis, Pulsar, etc.).
- Prior experience with Terraform, Kubernetes, or serverless architectures.
- Exposure to data governance, security, and compliance best practices.
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