Snowflake Data Engineer | Remote-Friendly

Pune, Maharashtra, India - Remote


Velotio Technologies is a leading product engineering & digital solutions company for innovative startups and enterprises. Velotio has worked with over 90 global customers, including NASDAQ-listed enterprises and unicorn startups. We specialize...

View company page

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified Great Place to Work® and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 325+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.


  • This Snowflake data engineer will be responsible for architecting and implementing very large scale data intelligence solutions around Snowflake Data Warehouse.
  • A solid experience and understanding of architecting, designing and operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.
  • Need to have professional knowledge of AWS Redshift.
  • Experience in developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes Snow SQL.
  • Writing SQL queries against Snowflake.
  • Working knowledge of AWS Redshift.
  • Provide production support for Data Warehouse issues such data load problems, transformation translation problems.
  • Translate requirements for BI and Reporting to Database design and reporting design
  • Understanding data transformation and translation requirements and which tools to leverage to get the job done.
  • Understanding data pipelines and modern ways of automating data pipeline using cloud based.
  • Testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.

    Desired Skills & Experience
  • Experience of designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
  • 5+ years of hands on experience with building productionized data ingestion and processing pipelines using Java, Spark, Scala, Python.
  • Experience in designing and implementing production grade data warehousing solutions on large scale data technologies.
  • Proficiency in Data-modelling is a must.
  • Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies.
  • Excellent presentation and communication skills, both written and verbal.
  • Ability to problem solve and architect in an environment with unclear requirements.


Our Culture:

  • We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly
  • Flat hierarchy with fast decision making and a startup-oriented “get things done” culture
  • A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment

Note: Currently, all interviews and onboarding processes at Velotio are being carried out remotely through virtual meetings.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Data pipelines Data warehouse Data Warehousing Engineering ETL Java Machine Learning Pipelines Python Redshift Scala Snowflake Spark SQL Testing

Perks/benefits: Career development Flat hierarchy Startup environment

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  10  1  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.