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Lucideus Technologies - Software Development Engineer III - Data Management Job Opening In Bengaluru – Now Hiring Lucideus

Lucideus Technologies Software Development Engineer III Data Management

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Job description

<p><p>Were looking for a seasoned Senior Software Development Engineer (SDE III) Data Engineering with deep expertise in building large-scale data ingestion, processing, and analytics platforms.<br/><br/> In this role, youll collaborate closely with Product, Design, and cross-functional stakeholders to design and implement high-throughput data pipelines and lakehouse solutions that power analytics, AI, and real-time decision-making for predicting and preventing cyber breaches.<br/><br/> <b>What Youll Do :</b><br/><br/></p><p> - <b>Technical Leadership:</b> Lead and mentor developers, fostering a culture of innovation, quality, and continuous improvement.<br/><br/></p><p> - <b>Design and Develop:</b> Architect and implement high-scale data pipelines leveraging Apache Spark, Flink, and Airflow to process streaming and batch data efficiently.<br/><br/></p><p> - <b>Data Lakehouse and Storage Optimization:</b> Build and maintain data lakes and ingestion frameworks using Snowflake, Apache Iceberg, and Parquet, ensuring scalability, cost efficiency, and optimal query performance.<br/><br/></p><p> - <b>Data Modeling and System Design:</b> Design robust, maintainable data models to handle structured and semi-structured datasets for analytical and operational use cases.<br/><br/></p><p> - <b>Real-time and Batch Processing:</b> Develop low-latency pipelines using Kafka and Spark Structured Streaming, supporting billions of events per day.<br/><br/></p><p> - <b>Workflow Orchestration:</b> Automate and orchestrate end-to-end ELT processes with Airflow, ensuring reliability, observability, and recovery from failures.<br/><br/></p><p> - <b>Cloud Infrastructure:</b> Build scalable, secure, and cost-effective data solutions leveraging AWS native services (S3, Lambda, ECS, etc.<br/><br/></p><p> - <b>Mentorship:</b> Lead by example, guide junior engineers, conduct reviews, and drive adoption of best practices for data engineering excellence.<br/><br/></p><p> - <b>Monitoring and Optimization:</b> Implement strong observability, data quality checks, and performance tuning to maintain high data reliability and pipeline efficiency.<br/><br/> <b>What Were Looking For :</b><br/><br/></p><p> - Bachelors or Master's degree in Computer Science, Engineering, or a related field.<br/><br/></p><p> - 6+ years of experience in data engineering with a proven track record of designing large-scale, distributed data systems.<br/><br/></p><p> - Strong expertise in Snowflake and other distributed analytical data stores.<br/><br/></p><p> - Hands-on experience with Apache Spark, Flink, Airflow, and modern data lakehouse formats (Iceberg, Parquet).<br/><br/></p><p> - Deep understanding of data modeling, schema design, query optimization, and partitioning strategies at scale.<br/><br/></p><p> - Proficiency in Python, SQL, Scala, Go/Nodejs with strong debugging and performance-tuning skills.<br/><br/></p><p> - Experience in streaming architectures, CDC pipelines, and data observability frameworks.<br/><br/></p><p> - Ability to mentor engineers, review designs, and lead technical discussions.<br/><br/></p><p> - Familiarity with using AI Coding assistants like Cursor, Claude Code, or GitHub Copilot.<br/><br/> <b>Preferred Qualifications : </b><br/><br/></p><p> - Exposure to CI/CD pipelines, automated testing, and infrastructure-as-code for data workflows.<br/><br/></p><p> - Familiarity with streaming platforms (Kafka, Kinesis, Pulsar) and real-time analytics engines (Druid, Pinot, Rockset).<br/><br/></p><p> - Understanding of data governance, lineage tracking, and compliance requirements in a multi-tenant SaaS platform.<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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