Snowflake Data Engineer

Palni, Inc.; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Palni, Inc. in Hyderabad is seeking a Senior Snowflake Data Engineer to design, develop, and optimize scalable data solutions. You will work with Snowflake, SQL, ETL pipelines, and dbt to deliver reliable and high-performing data products.

The role requires 5+ years of data engineering experience with Snowflake architecture, performance tuning, and cloud-based data platform expertise. You will collaborate with cross-functional teams to translate business needs into robust data pipelines.

Qualifications

• 5+ years of data engineering experience with a focus on Snowflake architecture.

Responsibilities

• Design scalable data models using Snowflake to support BI and analytics.
• Implement ETL/ELT solutions with complex transformations.
• Write advanced SQL queries for data extraction, transformation, and loading.
• Build and manage data ingestion pipelines from multiple sources (databases, APIs, files, cloud).
• Utilize Snowflake features (Streams, Tasks, Snowpipe, Time Travel) and manage warehouses.
• Perform data modeling (dimensional modelling, fact/dimension design, schema optimization).
• Implement CI/CD and version-control for data engineering solutions.

Skills

Snowflake

SQL

ETL pipelines

DBT

Data modeling

CI/CD

Git

Tools

Snowflake

dbt

Git

Job description

Role: Snowflake Data Engineer

Experience: 5 to 10 Years
Location: Hyderabad

Work Mode: Work From office, 5 days (Mon-Fri)

Shift: 2:00pm -11:00pm

About the Role

We are looking for a Senior Snowflake Data Engineer with 610 years of experience in designing, developing, and optimizing scalable data engineering solutions. The ideal candidate will have strong hands-on expertise in Snowflake, SQL, ETL pipelines, and Data Build Tool, with the ability to work closely with business and technical teams to deliver reliable and high-performing data solutions.

Key Responsibilities

• Design and implement scalable data models using Snowflake to support business intelligence and analytics solutions.
• Implement ETL/ELT solutions that involve complex business transformations.
• Write complex SQL queries for extracting, transforming, and loading data, ensuring high performance and accuracy.
• Build and manage data ingestion pipelines from multiple sources such as databases, APIs, files, and cloud platforms.
• Work with Snowflake features including Streams, Tasks, Snowpipe, Time Travel, Dynamic Tables, and Snowflake Warehouses.
• Perform data modeling, including dimensional modeling, fact/dimension design, and schema optimization.
• Implement CI/CD and version-control practices for data engineering solutions.

Required Technical Skills

• Experience 5+ years of data engineering experience with a strong focus on Snowflake architecture.
• SQL: Mastery of advanced SQL for complex data querying, optimization, and analytical processing.
• DBT: Extensive experience using dbt (Data Build Tool) for data modeling, testing, and documentation.
• Performance: Experience in Snowflake performance tuning, query optimization, and cost management.
• Cloud: Hands‑on experience with cloud platforms (AWS, Azure, or GCP), including cloud storage and security.
• Pipelines: Proven track record of designing, building, and maintaining robust data pipelines.
• CI/CD: Familiarity with version control (Git) and data pipeline deployment workflows.
• Collaboration: Ability to work with cross‑functional teams to translate business needs into technical solutions.
• Team player: Ability to work with team members and contribute towards organizational goals.