Senior Data Engineer
2 months ago
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
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