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Assistant Manager

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Software Development Engineer II

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Responsibilities : - Design and Develop : Architect and implement scalable data pipelines using Spark, Flink, Airflow, and Apache Hudi to process large-scale data efficiently. - Database and Storage Optimization : Work extensively with Redshift, ClickHouse, and other databases, optimizing query performance, storage, and cost efficiency. - Data Lake and ETL Development : Build and manage data lakes and ingestion frameworks using AWS services such as S3 Glue, and EMR. - Data Modeling and System Design : Design and implement robust data models for structured and semi-structured datasets, ensuring performance, scalability, and maintainability. - Real-time and Batch Processing : Develop and maintain both real-time and batch data pipelines using technologies like Flink, Spark Streaming, and Kafka. - AWS and Cloud Infrastructure : Leverage AWS services (S3 Redshift, Lambda, ECS, etc. ) to build a scalable and cost-efficient data ecosystem. - Automation and 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 and Optimization : Implement observability (monitoring, alerting, logging) for data pipelines to ensure reliability and performance. Requirements : - 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.

Bangalore

Cashfree Payments - Senior Data Engineer - Spark/Apache Flink (5-8 yrs)

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