Senior Data Engineer (Snowflake+DBT)

Perficient India; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Perficient India is seeking a strong Snowflake + dbt Engineer to work on healthcare data solutions. The role is hybrid (3 days in office) with multiple Indian locations including Hyderabad, Bangalore, Chennai, Pune, and Nagpur.

Requires 5+ years of experience and strong Snowflake + SQL skills to deliver analytics-ready pipelines. You will build semantic models, curate datasets with dbt, and participate in data warehousing, ETL, and data lakehouse initiatives for healthcare clients.

Qualifications

• 5+ years of experience in data engineering or analytics data platforms.
• Hands-on with Snowflake, SQL and data modeling for healthcare datasets.
• Experience building curated datasets and analytics-ready pipelines using ETL/ELT approaches.
• Version control and collaboration using Git for data projects.

Responsibilities

• Build semantic models for healthcare data.
• Develop curated datasets using dbt.
• Transform raw data into analytics-ready pipelines.
• Demonstrate strong Snowflake + SQL expertise across the stack.
• Engage in data modeling, ETL, and data warehousing tasks.
• Work with data lakes/lakehouses and Git for versioning.

Skills

Snowflake

SQL

Data modeling

ETL

Data warehousing

Git

Healthcare data domain

Communication

Tools

dbt

Spark

Kafka

Job description

We are looking for a strong Snowflake + dbt Engineer to work on healthcare data solutions

Locations: #Hyderabad |#Bangalore | #Chennai | #Pune | #Nagpur

Experience: 5+ Years

Employment Type: Full-time | Hybrid (3 days work from office)

Notice Period: Immediate Joiners

• Build semantic models for healthcare data
• Develop curated datasets using dbt
• Transform raw data into analytics-ready pipelines
• Strong Snowflake + SQL expertise
• Data modeling, ETL & data warehousing
• Experience with data lakes/lakehouses & Git
• Strong communication & client interaction

Nice to Have

• Spark, Kafka

Looking for passionate, fast-paced data engineers ready to grow.