Skills:
SQL, Database Management, Data Warehousing, Data Engineering Expertise, Cloud Data Platforms, Data Quality & Data Cleaning,

About The Role

As a Data Engineer, you will be responsible for designing, building, and maintaining robust and scalable data pipelines. You will work with large datasets, ensuring data quality, and enabling data-driven decision-making across the organization. This role requires a strong understanding of data warehousing concepts, ETL processes, and modern data architecture.

Responsibilities

• Design, develop, and maintain scalable ETL processes for data ingestion, transformation, and loading.
• Implement and enforce data quality standards and procedures to ensure accuracy and reliability of data.
• Perform data cleaning, data profiling, and data validation to identify and resolve data discrepancies.
• Develop and optimize data migration strategies for moving data between various systems.
• Build and maintain reporting and analytics solutions, collaborating with stakeholders to understand their data requirements.
• Implement and manage data solutions based on medallion schema architecture (Bronze, Silver, Gold layers).
• Design and implement data integration solutions for various data sources.
• Collaborate with cross-functional teams to support data-related initiatives.
  
  

Requirements

• 3+ years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, MySQL, Snowflake).
• Strong experience with ETL tools and data warehousing concepts.
• Demonstrated experience with data cleaning, data quality, and data migration.
• Familiarity with reporting and analytics tools (e.g., Tableau, Power BI).
• Understanding of medallion schema architecture.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Excellent problem-solving and communication skills.
  
  

Nice-to-Have Skills

• Experience with big data technologies (e.g., Spark, Hadoop).
• Familiarity with data orchestration tools (e.g., Airflow, Dagster).
• Knowledge of Python or other scripting languages for data manipulation.
• Prior startup experience.
  
  

Education & Certification

• We dont actually care about qualifications as long as you are a rockstar engineer who wants to keep learning and make a massive impact.
  
  

What We Offer

• A values aligned culture: always learning mindset, collaborative environment and an entrepreneurial approach to getting things done.
• Competitive, flexible salary based on experience
• Equity via ESOPs
• Opportunity to shape data strategy at an AI-native company.
• Collaborative, high-energy startup culture in San Francisco and South Delhi
• Access to top AI researchers worldwide to drive innovation and continuous learning.