Data Engineer

Amaris Consulting; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Amaris Consulting in Bangalore is looking for hands-on Data Engineers with expertise in dbt, Data Vault modelling, and ELT to design, migrate, and validate data pipelines within a structured delivery environment.

The role involves building scalable data transformations, implementing data quality checks, and collaborating with business analysts and data architects. Strong English communication and a disciplined approach are essential for success in this environment.

Qualifications

• Hands-on Data Engineer with experience in modern data engineering practices.
• Proficient in dbt, Data Vault modelling and ELT.
• Experience designing, migrating and validating data pipelines.
• Ability to write clean, tested code and maintain data quality.
• Strong English communication and ability to work in a structured project environment.

Responsibilities

• Develop and maintain data transformation pipelines using dbt.
• Design and implement Data Vault data models.
• Translate business and technical requirements into reliable ELT workflows.
• Support and execute data migration projects from legacy platforms to modern data platforms.
• Build and optimize scalable data pipelines.
• Implement data quality checks, tests, and reconciliation controls.
• Collaborate with analysts, data architects, and technical leads.
• Participate in code reviews, documentation, and delivery governance.
• Investigate data issues and support root cause analysis.
• Contribute to CI/CD, testing, and deployment best practices.

Skills

Data Engineer

dbt

Data Vault modelling

ELT

Data transformation pipelines

Code quality

Data Quality

English communication

Structured project environment

CI/CD

Git

DevOps

Tools

Snowflake

Git

CI/CD

DevOps

Job description

We are looking for hands-on Data Engineers with solid experience in modern data engineering practices, especially around ELT, dbt, Data Vault, and data migration.

The consultants will contribute to the design, development, migration, and validation of data pipelines in a structured delivery environment.

Key Responsibilities

• Develop and maintain data transformation pipelines using dbt.
• Design and implement Data Vault data models.
• Translate business and technical requirements into reliable ELT workflows.
• Support and execute data migration projects, including migration from legacy platforms to modern data platforms.
• Build and optimize scalable data transformation pipelines.
• Implement data quality checks, tests, and reconciliation controls.
• Collaborate with business analysts, data architects, and technical leads.
• Ensure clean, modular, and maintainable code.
• Participate in code reviews, documentation, and delivery governance.
• Investigate data issues and support root cause analysis.
• Contribute to best practices around CI/CD, testing, and deployment.

Required Skills – Must Have

• Strong experience as a Data Engineer.
• Hands-on experience with dbt.
• Strong hands-on experience with Data Vault modelling.
• Good understanding of modern ELT principles.
• Experience building scalable and maintainable data transformation pipelines.
• Ability to write clean, documented, and tested code.
• Experience with data quality, testing, and reconciliation.
• Good communication skills in English.
• Ability to work in a structured project environment.

Nice to Have

• Experience with Snowflake.
• Experience in data platform modernization programs.
• Experience migrating from legacy technologies to modern cloud data platforms.
• Experience in insurance, banking, or another regulated environment.
• Experience with CI/CD, Git, and DevOps practices.
• Experience working in distributed or offshore delivery teams.