Senior Data Engineer (Snowflake +dbt + Airflow))

Experience: 5.00 + years

Salary: INR 1500000-2500000 / year (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid (Ahmedabad)

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - Inferenz)

What do you need for this opportunity?

Must have skills required:

Snowflake, dbt, Airflow

Inferenz is Looking for:

Position: Senior Data Engineer (Snowflake + dbt + Airflow)

Location: Pune, Ahmedabad

Required Experience: 5+ years

Preferred: Immediate Joiners

Job Overview:

We are looking for a highly skilled Senior Data Engineer (Snowflake) to join our team. The ideal candidate will have extensive experience Snowflake, and cloud platforms, with a strong understanding of ETL processes, data warehousing concepts, and programming languages. If you have a passion for working with large datasets, designing scalable database schemas, and solving complex data problems.

Key Responsibilities:

• Design, implement, and optimize data pipelines and workflows using Apache Airflow
• Develop incremental and full-load strategies with monitoring, retries, and logging
• Build scalable data models and transformations in dbt, ensuring modularity, documentation, and test coverage
• Develop and maintain data warehouses in Snowflake
• Ensure data quality, integrity, and reliability through validation frameworks and automated testing
• Tune performance through clustering keys, warehouse scaling, materialized views, and query optimization.
• Monitor job performance and resolve data pipeline issues proactively
• Build and maintain data quality frameworks (null checks, type checks, threshold alerts).
  
  
  

Partner with data analysts, scientists, and business stakeholders to translate reporting and analytics requirements into technical specifications.

Qualifications:

• Snowflake (data modeling, performance tuning, access control, external tables, streams & tasks)
• Apache Airflow (DAG design, task dependencies, dynamic tasks, error handling)
  
  
  

dbt (Data Build Tool) (modular SQL development, jinja templating, testing, documentation)

• Proficiency in SQL, Spark and Python
• Experience building data pipelines on cloud platforms like AWS, GCP, or Azure
• Strong knowledge of data warehousing concepts and ELT best practices
• Familiarity with version control systems (e.g., Git) and CI/CD practices
• Familiarity with infrastructure-as-code tools like Terraform for provisioning Snowflake or Airflow environments.
• Excellent problem-solving skills and the ability to work independently
• Ability to work collaboratively in a team environment.
  
  
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!