Required Skills: SQL queries,ETL tools and frameworks,Big data technologies,Cloud platforms (AWS, Azure, GCP),Data warehousing.

Description

Your Mission, Should You Choose to Apply:

🚀 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, 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

Work Timings - 10 AM - 7 PM