Snowflake Engineer

Experience: 5 to 8 years

Location: Bengaluru, Gurgaon, Pune

Job code: 101539

Posted on: Jul 09, 2026

About Us:

AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

Job Summary:

We are seeking a highly skilled Snowflake Data Engineer with strong expertise in Snowflake Data Warehouse and AWS to design, develop, and optimize scalable data solutions. The ideal candidate will have hands-on experience in advanced SQL development, ETL pipeline implementation, Snowflake performance optimization, and AWS data services. You will be responsible for building robust data pipelines, automating workflows, integrating cloud storage, and ensuring efficient data processing for analytics and business intelligence

Key Responsibilities:

Strong experience with Snowflake Data Warehouse, including writing and optimizing complex SQL queries.

Proficiency in advanced SQL, including joins, aggregations, window functions, and stored procedures.

Hands-on experience with data loading techniques (COPY INTO, Snowpipe, internal/external stages).

Knowledge of performance tuning and query optimization in Snowflake.

Familiarity with Snowflake Streams and Tasks for data pipeline automation and CDC (Change Data Capture).

Knowledge of integrating Snowflake with AWS services such as S3 and Glue.

Familiarity with external tables and querying data directly from external storage (e.g., Amazon S3)

Knowledge of Snowflake data sharing across accounts/regions for secure collaboration.

AWS Skills

Hands-on experience with AWS Glue (ETL).

Building and managing ETL pipelines.

Working with Python jobs in Glue.

Knowledge of AWS Step Functions.

Understanding of state machines and job sequencing.

Why Join Us:

Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.

Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.

Competitive compensation & benefits, ESOPs and international assignments.

Supportive environment with healthy work-life balance and a focus on employee well-being.

Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.