₹15L – ₹25L a year estimatetypical for IT Jobs in Pune, 51 posts
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Role at a glance
You will
Project Type: L3 Support
Flexibility to shift working is Mandatory.
Development Responsibilities
Work mode
Hybrid
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Job description
Location: Bangalore, Karnataka, India; Pune, Maharashtra, India Department: AI & Data Engineering
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
Snowflake, Airflow, DBT
SQL
Python/PySpark
ETL
CDC
Specialization
Snowflake
SnowPro
Job requirements
Key Responsibilities
Project Type: L3 Support
Flexibility to shift working is Mandatory.
Development Responsibilities
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.
Develop and orchestrate workflows using Apache Airflow.
Design and implement data models, including Star Schema and Snowflake Schema.
Develop ingestion pipelines for structured and semi-structured data.
Create reusable frameworks for data validation, reconciliation, auditing, and monitoring.
Optimize Snowflake objects, including:
Virtual Warehouses
Clustering Keys
Materialized Views
Streams & Tasks
Dynamic Tables
Develop technical design documents and migration runbooks.
Perform code reviews and enforce engineering best practices.
Migration Responsibilities
Assess and migrate data from legacy platforms, including:
Oracle
SQL Server
Teradata
Netezza
DB2
SAP HANA
On-Prem Data Warehouses
Perform source system analysis and database rationalization.
Design migration strategies, including:
Full Data Loads
Incremental Loads
CDC (Change Data Capture)
Historical Data Migration
Conduct data reconciliation and validation during migration.
Optimize transformed workloads for Snowflake architecture.
Execute cutover planning and post-migration stabilization.
Good to have:
AMS / Production Support Responsibilities
Provide L3 support for Snowflake data platforms and pipelines.
Monitor and manage production data workloads.
Troubleshoot data failures, performance issues, and pipeline disruptions.
Perform root cause analysis (RCA) and implement permanent fixes.
Support incident, problem, change, and release management activities.
Work closely with business users and stakeholders to resolve production issues.
Ensure adherence to SLA and operational support commitments.
Participate in production releases and deployment activities.
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Questions you may be asked
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