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Brillio-2

Senior Data Specialist

Hyderabad, Andhra Pradesh, India

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Work setup in the employer’s listing: hybrid
From the employer’s posting
Employment
Full-time — employment source
Hiring: Snowflake Data Engineer Locations: Bengaluru | Pune | Hyderabad | Chennai | Gurgaon Experience: 2-6 Years Employment Type: Full-Time About the Role
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What you’ll work on

Full posting

We are looking for talented Snowflake Data Engineers who are passionate about building modern cloud data platforms and scalable data pipelines.

  • Develop and maintain ETL/ELT pipelines using Snowflake

  • Design data models and transformation frameworks

  • Develop Python automation and data processing solutions

  • Optimize Snowflake performance and warehouse utilization

From the employer’s posting
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.
Develop and maintain scalable ETL/ELT pipelines using Snowflake
Design and implement data models, transformation frameworks, and data integration solutions.
Develop Python-based automation and data processing solutions.
Optimize Snowflake performance, query execution, and warehouse utilization.

What you’ll bring

All qualifications

Core experience

  • 2-6 years of experience in data engineering
  • Hands-on Snowflake and data warehousing
  • Python programming
  • Apache Airflow and DBT
  • AWS cloud services (S3, Lambda, Glue, EC2)

Preferred experience

  • CI/CD and Git experience
  • Databricks, Spark, or other cloud data technologies
  • Snowflake or AWS certification
Qualification wording
2-6 years of experience in Data Engineering.
Snowflake Development & Data Warehousing
Python Programming
Apache Airflow Workflow Orchestration DBT (Data Build Tool)
AWS Cloud Services (S3, Lambda, Glue, EC2, etc.)
Experience with CI/CD and Git
Exposure to Databricks, Spark, or other cloud data technologies
Snowflake or AWS Certification

Tools in this posting

  • Python
  • SQL
  • AWS
  • BigQuery
  • Databricks
  • dbt
  • S3
  • Snowflake
  • Spark
  • Airflow
Source — Tool mentions in context
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
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
- 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.
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
Interested candidates can apply or share their updated resume. Skills: Snowflake | Python | Airflow | DBT | AWS | SQL | Data Engineering | ETL | ELT | Data Warehousing #Hiring #Snowflake #DataEngineer #AWS #Python #Airflow #DBT #DataEngineering #CloudData #BangaloreJobs #PuneJobs #HyderabadJobs #ChennaiJobs #GurgaonJobs
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
- 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.
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
- 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.
Job requirements Hiring: Snowflake Data Engineer Locations: Bengaluru | Pune | Hyderabad | Chennai | Gurgaon Experience: 2-6 Years Employment Type: Full-Time
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.
- 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.

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Live
First seen by us
Aug 31, 2026 · 48d ago
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Last seen by us
Oct 17, 2026
Employer says posted
Aug 12, 2026

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Job description

View original posting ↗

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.

          • Interested candidates can apply or share their updated resume.

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

          #Hiring #Snowflake #DataEngineer #AWS #Python #Airflow #DBT #DataEngineering #CloudData #BangaloreJobs #PuneJobs #HyderabadJobs #ChennaiJobs #GurgaonJobs

           

Employment type

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Hyderabad, Andhra Pradesh, India

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