Data Specialist - R01569581

Brillio 2

Chennai District

On-site

INR 1,200,000 - 2,200,000

Full time

14 days+
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Job summary

Brillio 2 is seeking a Data Engineer with strong Snowflake, DBT, SQL and Python to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building modern data pipelines, implementing data warehouse solutions, and enabling analytics through efficient data modeling and transformation practices.

The role focuses on creating robust data models, optimizing ETL/ELT processes, and ensuring data quality across cloud platforms to empower enterprise

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Hands-on Snowflake experience with Snowflake Data Warehouse and features like Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe.
  • Proficiency in DBT, SQL, and Python for building data pipelines and transformations.
  • Experience with data warehousing, dimensional modeling, data governance, and metadata management.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python.
  • Develop and optimize Snowflake-based data warehouse solutions for analytics and reporting.
  • Create robust data models and transformation frameworks to support business requirements.
  • Implement data ingestion, cleansing, transformation, and validation processes.
  • Develop and maintain stored procedures, views, and database objects within cloud data platforms.
  • Optimize SQL queries, data models, and pipelines for performance and scalability.
  • Collaborate with stakeholders, analysts, and engineers to translate requirements into technical solutions.
  • Monitor data quality and troubleshoot data-related issues across platforms.
  • Leverage Snowflake features such as Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe.
  • Participate in code reviews, testing, deployment, and documentation activities.
  • Support data governance, security, and best practices across the data ecosystem.

Skills

Snowflake
DBT
SQL
Python
ETL/ELT
Data Warehousing
Data Modeling

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

SnowSQL
Airflow
Power BI
Tableau
Looker
Git

Job description

Lead Data Engineer
  • BigTable, Cloud Functions, Cloud Spanner, GKE
  • GCP Data Engineer Advanced: Senior Data Engineer
Job Title: Data Engineer – Snowflake, DBT, Python & SQL

Experience

5–8 Years

Location

Bangalore / Hyderabad / Pune / Chennai / Gurgaon

Job Summary

We are seeking a skilled Data Engineer with strong expertise in Snowflake, DBT, SQL, and Python to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building modern data pipelines, implementing data warehouse solutions, and enabling analytics through efficient data modeling and transformation practices.

Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python.
  • Develop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting.
  • Create robust data models and transformation frameworks to support business requirements.
  • Implement data ingestion, cleansing, transformation, and validation processes.
  • Develop and maintain stored procedures, views, and database objects within cloud data platforms.
  • Optimize SQL queries, data models, and pipelines for performance and scalability.
  • Work closely with business stakeholders, analysts, and engineering teams to translate requirements into technical solutions.
  • Monitor data quality and troubleshoot data-related issues across platforms.
  • Leverage Snowflake features such as Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe.
  • Participate in code reviews, testing, deployment, and documentation activities.
  • Support data governance, security, and best practices across the data ecosystem.
Required Skills
Snowflake
  • Strong hands-on experience with Snowflake Data Warehouse.
  • Experience with:
    • Snowpipe
    • Zero Copy Cloning
    • Time Travel
    • Fail Safe
    • SnowSQL
    • Data Sharing/Data Exchange
    • Performance tuning and optimization of Snowflake workloads.
DBT
  • Strong expertise in DBT (Data Build Tool).
  • Experience developing reusable transformation models.
  • Understanding of DBT testing, documentation, and deployment practices.
SQL
  • Advanced SQL skills with experience handling large-scale datasets.
  • Expertise in query optimization, joins, analytical functions, and performance tuning.
  • Experience with stored procedures and database development.
Python
  • Strong Python programming skills for data processing and automation.
  • Experience with data engineering frameworks and scripting.
Data Engineering
  • Strong understanding of ETL/ELT concepts and modern data architectures.
  • Experience in data warehousing and dimensional modeling.
  • Knowledge of data governance, data quality, and metadata management.
Preferred Skills
  • Experience with orchestration tools such as Airflow.
  • Exposure to cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of CI/CD practices and Git-based version control.
  • Experience with reporting and visualization tools such as Power BI, Tableau, or Looker.
  • Exposure to AI/GenAI capabilities within data engineering solutions.
Educational Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Certifications
  • Snowflake SnowPro Certification
  • DBT Certification
  • AWS/Azure/GCP Data Engineering Certifications
  • Databricks or Cloud Data Platform Certifications
Primary Skills

Snowflake, DBT, SQL, Python

Secondary Skills

Data Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing

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