Senior Data Engineer - Data Warehousing

Role Responsibilities : - Data Architecture : Design, implement, and optimize scalable and efficient data architectures and pipelines to support various data use cases. - Data Pipeline Development : Create and maintain data pipelines that ingest, transform, and store data from various sources (e.g., databases, APIs, logs, and external data feeds). - Data Modeling : Develop and maintain data models, ensuring they are optimized for analytical and reporting needs. Use techniques such as dimensional modeling and data normalization. - Data Governance : Implement and enforce data governance practices to ensure data accuracy, consistency, and security. - Mentorship : Provide guidance and mentorship to junior data engineers and team members. You'll Be a Great Fit If You : - Writing complex SQL queries - Strong knowledge of ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica). - Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is preferred. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services. - Minimum of 5 years of experience in data engineering or a similar role, with a proven track record of building and managing complex data systems. - Experience with data warehousing tools like Snowflake , Databricks WHY JOIN US ? - Exponential Growth : Contribute to the 0-1 startup journey and witness the remarkable growth of Novatr, from 5X to 500X. - A Rocketship Career Path : Opportunities for rapid growth and career advancement. - Competitive Compensation : Attractive salary with performance-based bonuses. - Vibrant Work Culture : Fun, dynamic, and inclusive work environment. - Perks and Benefits : Health insurance, team outings, free snacks, and more. - Continuous Learning : Access to training, workshops, and industry events. Working Days - 5 Days (ref:hirist.tech)

Location: in, IN

Posted Date: 11/25/2024