Data Analytics Engineer

Aditi Consulting; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Aditi Consulting is seeking an experienced Data Analytics Engineer to design and scale data pipelines and architecture for analytics and BI. You will translate business questions into data requirements and build efficient models and pipelines using SQL, Snowflake and dbt, while leveraging AI tools to accelerate delivery.

You will monitor, optimize pipelines, troubleshoot root causes, and communicate complex technical decisions in plain business terms to product and finance teams, ensuring

Qualifications

• 6 years of experience in data engineering or analytics engineering.
• Bachelor's degree in Computer Science, Data Science, or related field.

Responsibilities

• Build and maintain data pipelines and models that support analytics, reporting, and BI.
• Monitor and improve existing pipelines in Snowflake and dbt to fix what's slow, expensive, or unreliable.
• Dig into data anomalies and pipeline issues to find the actual root cause, not just patch the symptom.
• Use AI tools and coding assistants day-to-day to write boilerplate, speed up queries, and move faster through development.
• Explain your work clearly to both engineers and non-technical stakeholders such as product and finance teams.
• Write tests and documentation to ensure the warehouse remains reliable and other people can trust and build on your work.

Skills

SQL

Snowflake

dbt

Fivetran

AI tools

Communication

Education

Bachelor's degree in Computer Science or Data Science

Tools

Git

CI/CD for data pipelines

Tableau

Power BI

Sigma

Hex

Job description

We need an experienced Data Analytics Engineer to build and scale our data pipelines and data architecture. You'll take business questions, determine the necessary data to answer them, and build the pipelines and models to make that possible in an optimized and efficient way. This role expects strong fundamentals in SQL, Snowflake, and dbt, along with fluency in using AI tools and coding assistants to work faster and more effectively.

Summary

We need an experienced Data Analytics Engineer to build and scale our data pipelines and data architecture. You'll take business questions, determine the necessary data to answer them, and build the pipelines and models to make that possible in an optimized and efficient way. This role expects strong fundamentals in SQL, Snowflake, and dbt, along with fluency in using AI tools and coding assistants to work faster and more effectively.

Responsibilities

• Build and maintain data pipelines and models that support analytics, reporting, and BI.
• Monitor and improve existing pipelines in Snowflake and dbt to fix what's slow, expensive, or unreliable.
• Dig into data anomalies and pipeline issues to find the actual root cause, not just patch the symptom.
• Use AI tools and coding assistants day-to-day to write boilerplate, speed up queries, and move faster through development.
• Explain your work clearly to both engineers and non-technical stakeholders such as product and finance teams.
• Write tests and documentation to ensure the warehouse remains reliable and other people can trust and build on your work.

Requirements

• 6 years of experience in data engineering or analytics engineering.
• Bachelor's degree in Computer Science, Data Science, or related field.

Required Skills

• Advanced hands-on experience with SQL, Snowflake, dbt, and Fivetran.
• Track record of picking up new tools and adapting quickly in a fast-moving environment.
• Able to dig past the surface of a problem to understand what's actually driving it, not just execute what's asked.
• Regular use of AI tools as part of your workflow.
• Strong written and verbal communication skills, with the ability to explain technical decisions in plain business terms.

Preferred Skills

• Master's Degree in Computer Science, Data Science, or a related technical field.
• Experience with version control workflows (git), CI/CD for data pipelines and business intelligence tools like Tableau, Power BI, Sigma, or Hex.
• Prior experience working in a fast-moving analytics organization.