Job Title: Snowflake Data Engineer

Skills Required: Data Engineering/Snowflake

Years of Experience: 2 yrs

Job Type: On-site

Location: Pune, Banaglore, Gurgaon (1 month - onsite after that remote)

Number of Positions: 10

: 2.

Snowflake Data Engineer Experience: 2–4 years Core skills: Snowflake, SQL, ETL/ELT, data modeling, and Python.

Role Overview We are looking for a Snowflake Data Engineer with strong SQL skills and hands-on experience developing and maintaining data pipelines. The candidate will work with engineering, analytics, and business teams to deliver reliable, well-structured data for reporting, analytics, and downstream applications. The role requires practical experience in data ingestion, transformation, quality validation, and troubleshooting within a Snowflake-based workplace.

Key Responsibilities - Develop data pipelines: Build and maintain ETL/ELT pipelines to integrate data from source systems into Snowflake, with appropriate validation, logging, and error handling.

- Implement data ingestion: Load structured and semi-structured data using Snowflake stages, file formats, COPY INTO, and Snowpipe, depending on the ingestion requirements.

Snowflake

Documentation - Build transformations and data models: Develop SQL transformations, tables, views, and reusable data models to support reporting and analytics.
- Support incremental processing: Implement incremental loading and change data capture patterns, including Snowflake Streams where appropriate.

Snowflake





Documentation - Maintain quality and performance: Monitor pipeline execution, investigate data discrepancies, implement reconciliation checks, and tune SQL and warehouse usage to balance performance and cost.

Snowflake

Documentation - Collaborate and document: Work with analysts and application teams to understand data requirements, maintain source-to-target mappings, and document pipeline dependencies and operational procedures.

Required Skills and Experience - 2–4 years of data engineering or data warehousing experience, including hands-on work with Snowflake.

- Strong SQL skills, including joins, common table expressions, window functions, aggregations, and troubleshooting complex queries.
- Working knowledge of Snowflake databases, schemas, tables, views, virtual warehouses, stages, and data-loading processes.
- Understanding of ETL/ELT concepts, dimensional modeling, incremental loads, and data quality validation.
- Working knowledge of Python for data processing or automation, along with Git, debugging, and clear technical communication.

Kindly share updated resumes of matching candidates along with their Candidate Name, Email ID, Contact Number, Total Experience, Relevant Experience, Candidate Rate, LinkedIn URL, Employment History from EPFO Portal, and Location at the earliest, so we can proceed with the interview process.

Pay: ₹100,000.00 per month

Experience

- SNOWFLAKE DATA ENGINEER!: 2 years (Required)

Work Location: On the road

📌 SNOWFLAKE DATA ENGINEER! (Pune)
🏢 Achutha
📍 Pune