Senior Data Specialist - R01569126

Brillio 2; Hyderabad; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Brillio 2 in India is seeking a Senior Data Engineer specialized in Snowflake data platforms to build scalable data pipelines. The role focuses on delivering enterprise-grade data transformations using Snowflake, Python, Airflow, DBT and AWS.

You will work with large data sets, design robust data models, and optimize data workflows to ensure quality and governance across data platforms. 2-6 years of experience and strong SQL skills are essential.

Qualifications

• Hands-on experience with Snowflake, Python, Airflow, DBT and AWS for enterprise-scale data transformations.
• 2-6 years of Data Engineering experience with strong SQL and data modeling skills.
• Experience building scalable ETL/ELT pipelines and data models for data warehouses.

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.

Skills

ETL Fundamentals

SQL

Python

Data Modeling

Stored Procedures

PL/SQL

T-SQL

Tools

Snowflake

Apache Airflow

DBT

AWS

BigQuery

Dataproc

Dataflow

Cloud Storage

S3

Composer

Job description

Senior Data Engineer

Hiring: Snowflake Data Engineer

Locations: Bengaluru | Pune | Hyderabad | Chennai | Gurgaon
Experience: 2-6 Years
Employment Type: Full-Time

Key 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
• GCP Data Engineering Basic: Senior Lead Data Engineer

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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