Data Engineer (Snowflake with DBT) Bangalore Location

Anlage Infotech (India) P Ltd; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Anlage Infotech (India) P Ltd is seeking an experienced Data Engineer with strong expertise in data warehousing and modern data stack technologies. The role requires hands-on work with Snowflake, DBT, and SQL, and exposure to banking domain projects.

You will build scalable, high-performance data solutions beyond ETL/BI tasks. Key responsibilities include designing and maintaining data pipelines, transforming data with Snowflake/DBT, and collaborating with cross-functional teams to meet data

Qualifications

• Must-have: strong SQL, Snowflake, DBT, and data warehousing experience.
• Experience with Oracle/DB2 relational databases and banking/FS domain.
• Exposure to modern data engineering practices and data modeling.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data warehouse solutions.
• Work with Snowflake and DBT for transformations and modeling.
• Write optimized SQL queries for large datasets.
• Collaborate with business and tech teams to understand data requirements.
• Ensure data quality, integrity, and performance optimization.
• Involve data modeling, schema design, and data architecture.
• Support data integration across banking-domain systems.
• Troubleshoot data issues and optimize pipelines.

Skills

Advanced SQL

Snowflake

DBT

Data warehousing

Oracle/DB2

Banking domain

Python (handy)

Job description

Role & responsibilities

We are looking for an experienced Data Engineer with a strong background in data warehousing and modern data stack technologies. The ideal candidate should have hands-on expertise in Snowflake, DBT, and SQL, along with exposure to banking domain projects.

This role requires someone who has worked on core data engineering (not ETL/BI-focused profiles) and can build scalable, high-performance data solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data warehouse solutions

Work extensively with Snowflake and DBT for data transformation and modeling

Write optimized and complex SQL queries for large datasets

Collaborate with business and tech teams to understand data requirements

Ensure data quality, integrity, and performance optimization

Work on data modeling, schema design, and data architecture

Support data integration across multiple systems in a banking domain environment

Troubleshoot data issues and optimize existing pipelines

Mandatory Skills

Strong expertise in SQL (advanced level)

Hands-on experience with Snowflake

Experience with DBT (Data Build Tool)

Experience in Data Warehousing projects

Strong knowledge of RDBMS (Oracle / DB2)

Exposure to Banking / Financial Services domain

Good to Have

Hands-on experience in Python

Understanding of modern data engineering practices

Experience with performance tuning and optimization