Job Description

7 - 9 Years
1 Opening
Kochi

Role description

Job Role:

Data Engineer - Snowflake, SQL, Python

Job Location:

Any UST

Role Overview

We are seeking an experienced

Data Engineer

with strong hands-on expertise in

Snowflake, SQL, and Python

. The role involves designing, building, and optimizing data pipelines as we transition multiple data sources and workloads to

Snowflake Cloud Data Platform

. You will work with modern data engineering frameworks, contribute to data modelling efforts, and ensure high-quality, scalable, and well-documented data solutions.

Key Responsibilities

Design, develop, and maintain

ETL/ELT pipelines

for large-scale data ingestion and transformation. Work extensively with

Snowflake Cloud Data Warehouse

, including schema design, performance optimization, and data governance. Develop data processing scripts and automation workflows using

Python

(pandas/dask/vaex) and

Airflow

or similar orchestration tools. Implement

data modelling

best practices (3NF, star schema, wide/tall tables) and metadata management processes. Optimize SQL queries across different database engines and manage performance trade-offs. Contribute to data quality, lineage, and governance integration (e.g.,

Collibra

). Collaborate with business stakeholders to gather requirements, translate into technical specifications, and deliver end-to-end solutions. Support agile ways of working, participate in ceremonies, and maintain relevant documentation and artifacts. Work with

source control (GitHub)

and follow best practices for shared codebase and CI/CD workflows. Contribute to building pipelines that are robust, reliable, and support RBAC-based data access controls.

Required Skills & Experience

3+ years

of experience in

Data Engineering

or similar role. Strong expertise with

Snowflake

, including schema design, warehouse configuration, and data product development. Advanced

SQL

skills with experience writing optimized, high-performance queries. Hands-on experience in

Python for data processing

, particularly with

pandas

or equivalent frameworks. Experience with

Airflow

,

DBT

, or similar data orchestration/ELT frameworks. Excellent understanding of

ETL/ELT patterns

, idempotency, and data engineering best practices. Strong

data modelling

experience (3NF, dimensional modelling, semantic layers). Familiarity with

data governance

and metadata cataloguing best practices. Experience integrating data pipelines with

enterprise access control / RBAC

. Working experience with

GitHub

or similar version control tools. Ability to work with business stakeholders, gather requirements, and deliver scalable solutions.

Preferred / Nice to Have

Experience with

AWS data services

(S3, Glue, Lambda, IAM). Knowledge of

data virtualisation

platforms, especially

Denodo

(cache management, query performance tuning). Certifications in

Snowflake

,

AWS

, or

Denodo

. Degree in Computer Science, Data Engineering, Mathematics, or related field (or equivalent professional experience).

Skills

Data Engineering,Airflow,Python,Snowflake

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.