Bangalore, Karnataka, India
Open 3 months, first seen by us 105 days agoWork setup in the employer’s posting: hybridFrom the employer’s posting
You will work closely with cross-functional teams, including AI/ML engineers and product stakeholders, to transform raw data into reliable, high-quality assets.
Design and develop scalable data pipelines and modern data architectures using Snowflake.
Develop technical design documents and migration runbooks.
As a Data Engineer at Brillio, you will be at the forefront of building robust, scalable data architectures that power complex business intelligence and AI initiatives. You will work closely with cross-functional teams, including AI/ML engineers and product stakeholders, to transform raw data into reliable, high-quality assets. Your day-to-day will involve architecting sophisticated data pipelines, implementing advanced modeling techniques, and ensuring the seamless flow of information across the enterprise, directly influencing the data-driven decision-making capabilities of our clients. Primary Skills
Development Responsibilities Design and develop scalable data pipelines and modern data architectures using Snowflake. Lead migration initiatives from legacy databases to Snowflake.
Dynamic Tables Develop technical design documents and migration runbooks. Perform code reviews and enforce engineering best practices.
Open 3 monthsWe first saw this posting 105 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 105
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Brillio-2’s usual: its jobs come down by about day 25.
From 11,418 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.
- SQL - Python/PySpark - ETL
- Snowflake, Airflow, DBT - SQL - Python/PySpark
- Oracle - SQL Server - Teradata
Primary Skills - Snowflake, Airflow, DBT - SQL
- Lead migration initiatives from legacy databases to Snowflake. - Build and optimize ELT frameworks using DBT. - Develop and orchestrate workflows using Apache Airflow.
- Assess and migrate data from legacy platforms, including: - Oracle - SQL Server
- DB2 - SAP HANA - On-Prem Data Warehouses
Specialization - Snowflake - SnowPro
Development Responsibilities - Design and develop scalable data pipelines and modern data architectures using Snowflake. - Lead migration initiatives from legacy databases to Snowflake.
- Design and develop scalable data pipelines and modern data architectures using Snowflake. - Lead migration initiatives from legacy databases to Snowflake. - Build and optimize ELT frameworks using DBT.
- Create reusable frameworks for data validation, reconciliation, auditing, and monitoring. - Optimize Snowflake objects, including: - Virtual Warehouses
- Conduct data reconciliation and validation during migration. - Optimize transformed workloads for Snowflake architecture. - Execute cutover planning and post-migration stabilization.
AMS / Production Support Responsibilities - Provide L3 support for Snowflake data platforms and pipelines. - Monitor and manage production data workloads.
- Build and optimize ELT frameworks using DBT. - Develop and orchestrate workflows using Apache Airflow. - Design and implement data models, including Star Schema and Snowflake Schema.
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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.
As a Data Engineer at Brillio, you will be at the forefront of building robust, scalable data architectures that power complex business intelligence and AI initiatives. You will work closely with cross-functional teams, including AI/ML engineers and product stakeholders, to transform raw data into reliable, high-quality assets. Your day-to-day will involve architecting sophisticated data pipelines, implementing advanced modeling techniques, and ensuring the seamless flow of information across the enterprise, directly influencing the data-driven decision-making capabilities of our clients.
Key Responsibilities
Project Type: L3 Support
Flexibility to shift working is Mandatory.
Development Responsibilities
Migration Responsibilities
Good to have:
AMS / Production Support Responsibilities
Employee
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bangalore, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
