Time since we first saw it
Day 48
Similar jobs usually come down between day 6 and day 54.
At Brillio-2, jobs usually come down by about day 25.
From 11,224 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.
Reads like a Data Engineer role: pipelines and data infrastructure.
Bangalore, Karnataka, India
Live, first seen by us 48 days agoWork setup in the employer’s posting: hybridFrom the employer’s posting
Develop complex SQL queries, joins, CTEs, views and stored procedures in Snowflake
Build AI-powered data processing and analytics solutions using SQL
Support GenAI use cases such as summarization, classification and semantic search
Perform data validation, quality checks and troubleshooting
Optimize SQL queries for performance and cost
Develop complex SQL queries, joins, CTEs, views, stored procedures and data transformations in Snowflake.
Build AI-powered data processing and analytics solutions using SQL.
Support development of GenAI use cases such as summarization, classification, information extraction and semantic search.
Perform data validation, quality checks and troubleshooting.
Optimize SQL queries for performance and cost.
Strong knowledge of SQL.
Good understanding of Snowflake concepts and data warehousing.
Basic understanding of Generative AI / LLM concepts.
Hands-on or academic exposure to Snowflake Cortex / Cortex AI Functions.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 48
Similar jobs usually come down between day 6 and day 54.
At Brillio-2, jobs usually come down by about day 25.
From 11,224 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Primary Skills - DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures Job requirements
Job requirements - Role Overview We are looking for a Snowflake Cortex + SQL Developer with strong SQL fundamentals and an interest in Generative AI. The candidate will work on Snowflake data solutions and leverage Snowflake Cortex AI Functions to build AI-powered data processing and analytics use cases. Key Responsibilities Develop complex SQL queries, joins, CTEs, views, stored procedures and data transformations in Snowflake. Work with Snowflake Cortex AI Functions such as AI_COMPLETE, AI_CLASSIFY, AI_EXTRACT, AI_SENTIMENT, AI_EMBED and AI_SUMMARIZE_AGG. Build AI-powered data processing and analytics solutions using SQL. Work with structured and unstructured data within Snowflake. Perform data validation, quality checks and troubleshooting. Optimize SQL queries for performance and cost. Support development of GenAI use cases such as summarization, classification, information extraction and semantic search. Collaborate with data engineers, analysts and business teams to understand requirements and deliver solutions. Required Skills Strong knowledge of SQL. Good understanding of Snowflake concepts and data warehousing. Basic understanding of Generative AI / LLM concepts. Hands-on or academic exposure to Snowflake Cortex / Cortex AI Functions. Knowledge of data transformation, joins, CTEs and analytical functions. Good problem-solving and analytical skills. Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Employment type
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Employee
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Bangalore, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.