We are looking for an individual with strong data engineering skillset who can lead the design, development, and optimization of enterprise-scale data pipelines and architectures to drive data-driven decision-making. Deep hands-on expertise in Snowflake implementation and a strong background in data modeling and use of ETL tools

What You’ll Do

Design Data Pipeline :

• Design and implement high-performance data pipelines using ETL processes, batch/streaming frameworks
• Deep knowledge of snowflake and familiarity with tools like dbt for data transformation
• Work with AWS tech stack using kinesis, firehose, s3, lambda, spark, airflow, flink

ETL Tool:

• Develop and maintain ETL/ELT pipelines integrating events heartbeat data, video heartbeat data, backend events data and chats data
• Experience working with ingestion tools like segment, fivetran, hightouch, estuary and more

Analytics:

• Data Modeling in Thoughtspot, explo
• Knowledge of snowflake and star schema
• Working with materialised views

Engineering excellence and cross-org impact:

• Lead at least one engineering-wide initiative and continuously improve processes within and across teams.
• Partnering with multiple stakeholders across various vertical
• have good understanding of internals and fundamental concepts of databases including indexing, snowflake optimisation and cost management

What We Seek

• 8+ years in data engineering leading multiple initiatives
• Strong technical judgment in data engineering, etl, modeling and analytics
• Proven track record of delivering complex projects on time, improving team processes, and raising engineering quality bars
• Excellent communication and stakeholder management with Product and Design

Nice to Have

• Experience with AI/ML-enabled workflows using snowflake cortex
• Data Quality Framework, Governance and catalog
• Familiarity with experimentation and analytics stacks for iteration and measurement
• Operating experience in high-growth or startup environments leading multiple pods