Senior Data Engineer - R01569126

Brillio; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Brillio in Bengaluru seeks a Senior Data Engineer to build modern cloud data platforms and scalable pipelines. You should have hands-on experience with Snowflake, Python, Airflow, DBT, and AWS, and be eager to work on enterprise-scale data transformation initiatives.

Key responsibilities include developing ETL/ELT pipelines, designing data models and transformation frameworks, building workflows with Airflow and DBT, and collaborating with analytics and engineering teams.

Qualifications

• Hands-on experience with Snowflake, Python, Airflow, DBT, and AWS.

Responsibilities

• Develop and maintain scalable ETL/ELT pipelines using Snowflake.
• Design data models and transformation frameworks.
• Build data workflows using Airflow and DBT.
• Develop Python-based automation and data processing solutions.
• Work with AWS services for data ingestion, storage, and processing.
• Optimize Snowflake performance and warehouse utilization.

Skills

Snowflake

Python

Airflow

DBT

AWS

SQL

Data Modeling

ETL/ELT

Data Warehousing

Tools

Databricks

Spark

Git

CI/CD

Job description

Senior Data Engineer

Primary Skills

• ETL Fundamentals, SQL, BigQuery, Dataproc, SQL (Basic + Advanced), Python, Data Catalog, Data Warehousing, Composer, Dataflow, Cloud Trace, Cloud Logging, Cloud Storage, Datafusion, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

• GCP Data Engineering Basic: Senior Lead Data Engineer

Job requirements

Hiring: Snowflake Data Engineer

Locations: Bengaluru | Pune | Hyderabad | Chennai | Gurgaon

Experience: 2-6 Years

Employment Type: Full-Time

About the Role

We are looking for talented Snowflake Data Engineers who are passionate about building modern cloud data platforms and scalable data pipelines. The ideal candidate should have hands‑on experience with Snowflake, Python, Airflow, DBT, and AWS and be eager to work on enterprise-scale data transformation initiatives.

Key Responsibilities

• Develop and maintain scalable ETL/ELT pipelines using Snowflake and modern data engineering technologies.
• Design and implement data models, transformation frameworks, and data integration solutions.
• Build and optimize data workflows using Airflow and DBT.
• Develop Python-based automation and data processing solutions.
• Work with AWS services for data ingestion, storage, and processing.
• Optimize Snowflake performance, query execution, and warehouse utilization.
• Collaborate with business, analytics, and engineering teams to deliver high-quality data solutions.
• Ensure data quality, governance, security, and operational excellence across data platforms.
• Troubleshoot production issues and provide ongoing support for data pipelines.

Required Skills

Snowflake Development & Data Warehousing
Python Programming
Apache Airflow Workflow Orchestration
DBT (Data Build Tool)

AWS Cloud Services (S3, Lambda, Glue, EC2, etc.)
Strong SQL and Data Modeling skills
ETL/ELT Pipeline Development
Understanding of Data Warehousing Concepts

Preferred Skills

Experience with CI/CD and Git
Exposure to Databricks, Spark, or other cloud data technologies
Knowledge of data governance and data quality frameworks
Snowflake or AWS Certification

What We're Looking For

• 2-6 years of experience in Data Engineering.
• Strong problem-solving and analytical skills.
• Ability to work in a fast‑paced, collaborative environment.
• Excellent communication and stakeholder management skills.

Why Join Us?

• Work on cutting‑edge cloud data transformation projects.
• Exposure to large‑scale enterprise data platforms.
• Opportunity to learn and grow with modern data engineering technologies.
• Collaborative and innovation‑driven culture.

Skills: Snowflake | Python | Airflow | DBT | AWS | SQL | Data Engineering | ETL | ELT | Data Warehousing

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