About the Company: Level AI is a Series C startup headquartered in Mountain View, California, founded in 2019. We revolutionize customer engagement by transforming contact centers into strategic assets. Leveraging advanced AI technologies, including Large Language Models, our platform delivers actionable insights from customer interactions, enabling organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI offers the most adaptive and forward-thinking solutions in the industry.
Position Overview : We are seeking a talented Senior Software Engineer to contribute to the design, development, and enhancement of our cutting-edge data warehouse and analytics platform. You will play a critical role in building scalable, high-performance systems while collaborating closely with the team to solve complex challenges. This position offers opportunities to grow into a leadership role as you drive engineering excellence and contribute to a highly collaborative environment.
Key Responsibilities
Collaborate with product managers, data scientists, and engineers to design and develop scalable analytics platforms and solutions.Build and maintain efficient data warehouse schemas, including star schemas, fact tables, and dimensions, to support fast and accurate queries.Develop and optimize ETL/ELT pipelines for seamless data propagation from source systems to analytics platforms.Work with modern data integration tools and platforms to ensure data accuracy, reliability, and scalability.Optimize data systems for performance and scalability, aligning with future business needs.Implement and enforce engineering best practices for code quality, testing, and deployment.Troubleshoot and resolve data platform issues to maintain system reliability and performance.,
Key Skills & Competencies
Data Modeling: Experience designing and implementing data warehouse schemas (e.g., star schemas, fact tables, and dimensions).ETL/ELT Pipelines: Skilled in data movement and transformation using tools like Apache Airflow, dbt, or Talend.Data Warehousing Platforms: Hands-on experience with platforms such as Snowflake, Amazon Redshift, or Google BigQuery.Programming & SQL Proficiency: Strong in Python or Java and advanced SQL skills for complex queries and performance tuning.Data Integration: Knowledge of real-time data tools such as Apache Kafka, AWS Glue, or Fivetran.Data Pipeline Orchestration: Experience using automation tools like Apache Airflow or Luigi for orchestrating workflows.Scalability & Extensibility: Proven ability to design systems that can scale with increasing data and user demands.
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Requirements:
B.E./B.Tech./M.E./M.Tech. in Computer Science, Engineering, or a related field from a reputed Tier-I/II institution.5+ years of experience in software engineering with a focus on back-end development and data platforms.Hands-on experience with large-scale data systems and analytics solutions.Strong understanding of database systems, high-scale messaging systems, and real-time job queues.Familiarity with data architecture best practices for developing scalable and extensible platforms.Collaborative mindset with experience working in cross-functional teams.Compensation : We offer market-leading compensation, based on the skills and aptitude of the candidate.