Senior Associate

Axtria · Predictive Analytics · Management Consulting · Python · SQL · Tableau · Power BI · ETL/ELT · Informatica · Looker · Dimensional Modeling · 3 days ago

Smart Apply

Similar jobs

2,050,475open jobs

120,781companies

242,512added this week

Browse all

Salary

≈ $18k – $39k per year (Estimated)

Location

In office (Noida)

Seniority

Senior

Employment

Full-Time

First seen by Alion on Oct 26, 2026.

Overview

Company

Impact

Profile match

Axtria

Axtria provides data analytics and machine learning software to the life sciences commercial function, covering sales planning and omnichannel engagement. Founded in 2010 in New Jersey, it combines cloud data products with domain consulting for pharmaceutical clients. The company operates large delivery centres in India.

axtria.com · HQ: Berkeley Heights, United States · Management Consulting · Predictive Analytics · Analytics & BI Consulting · Healthcare & Life Sciences Consulting · 51-200 employees · Est. 2010

Tech stack of Axtria

Backed by Kedaara Capital

Job Title: Snowflake Developer (Data Lake Program with Snowflake Cortex)

Role Overview

The Snowflake Developer is responsible for building and optimizing data pipelines and analytical datasets within a Snowflake-based data lakehouse. This role also includes leveraging Snowflake Cortex to enable AI-driven data transformations, natural language processing, and intelligent data applications directly within the data platform.

Key Responsibilities

Data Ingestion & Integration
Develop and maintain scalable data ingestion pipelines (batch and near real-time).
Load data from databases, APIs, files, and streaming systems into Snowflake.
Handle structured and semi-structured data (JSON, Parquet, Avro, CSV).
Integrate Snowflake with cloud storage platforms (S3, Azure Data Lake, GCS).
Data Transformation (ELT)
Build ELT pipelines using Snowflake SQL and native features (Streams, Tasks, Dynamic Tables).
Implement transformations across Bronze, Silver, and Gold layers.
Use tools like dbt for modular, reusable, and testable transformations.
Snowflake Cortex & AI Enablement
Leverage Snowflake Cortex functions within SQL for AI-powered transformations.
Implement use cases such as:

Text summarization of large datasets (logs, documents)
Sentiment analysis and classification
Natural language enrichment of datasets

Work with vector embeddings and similarity search for semantic use cases.
Assist in building AI-ready datasets for downstream analytics and ML.
Collaborate with data scientists to integrate AI/ML logic into Snowflake pipelines.
Support simple prompt engineering within Cortex functions for optimized outputs.
Data Modeling
Design and implement analytical data models (star schema, snowflake schema).
Build fact and dimension tables optimized for BI and AI use cases.
Ensure datasets are structured for both analytics and AI consumption.
Performance & Cost Optimization
Optimize SQL queries and Snowflake workloads.
Use clustering, caching, and efficient compute strategies.
Monitor warehouse usage and control costs, including Cortex consumption.
Data Quality & Validation
Implement data validation checks and quality frameworks.
Ensure accuracy, completeness, and consistency of data.
Debug and resolve pipeline and data issues.
Security & Governance
Apply RBAC, masking policies, and row-level security.
Ensure compliance with data governance and privacy standards.
Maintain proper documentation and lineage for datasets.
Collaboration & Agile Delivery
Work with architects, analysts, and AI/ML teams.
Translate business and AI use cases into technical implementations.
Participate in Agile development processes.

Required Skills & Qualifications

Core Snowflake Skills

Strong hands-on experience with Snowflake.
Advanced SQL skills with performance tuning.
Experience with Snowflake features:

Streams, Tasks, Dynamic Tables
Time Travel, Zero-Copy Cloning

Snowflake Cortex & AI Skills

Basic to intermediate experience with Snowflake Cortex functions.
Understanding of:

Generative AI concepts (LLMs, embeddings)
Text processing and NLP basics

Familiarity with:

Prompt engineering techniques
Semantic search and vector similarity concepts

Data Engineering Skills

Experience with ELT/ETL tools (dbt, Airflow, Informatica).
Knowledge of cloud platforms (AWS / Azure / GCP).
Familiarity with data lake/lakehouse architecture.

Programming & Tools

Proficiency in SQL and working knowledge of Python.
Experience with Git and CI/CD pipelines.

Soft Skills

Strong analytical and problem-solving abilities.
Good communication and collaboration skills.
Willingness to learn and adapt to AI-driven data technologies.

Preferred Qualifications

Snowflake certification (SnowPro Core).
Experience working on AI-enabled data platforms.
Exposure to vector databases or RAG architectures.
Familiarity with BI tools (Power BI, Tableau, Looker).
Understanding of DataOps / MLOps practices.

Key Deliverables

Scalable and reliable data pipelines.
AI-enriched datasets using Snowflake Cortex.
Optimized queries and cost-efficient workloads.
High-quality, analytics- and AI-ready data models.

Success Metrics

Pipeline reliability and performance.
Adoption of AI-powered data transformations.
Query efficiency and cost optimization (including Cortex usage).
Data quality and stakeholder satisfaction.

Free account

Stop reading job ads. Get the ones that fit.

One free account turns this page into a shortlist built around your stack, your level and your pay.

Match on every job. Stack, seniority, pay and location, scored against your profile.

2,050,475 open roles. Read straight off company career pages, refreshed every day.

Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.

3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.

Create a free account Continue with Google

Free forever. No card. Under a minute.

Your match

How well do you fit this role?

Two answers are enough for a real match. No account needed.

Check my fit

Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science

Similar stack

Same company

Noida

Data Engineer - Snowflakes/AWS 1 hour ago

≈ $15k – $40k per year (Estimated) · In office · Full-Time · 3+ years exp · PhD · Bengaluru

Python

SQL

Python

Ruff

Pydantic

pre-commit

Databases

Snowflake

AI/ML

Airflow

dbt

Pandas

NumPy

DevOps

Rest API

Terraform

GCP

Prometheus

Azure

CI/CD

Git

AWS

AWS Lambda

Cortex

GitHub

Amazon S3

IAM

Analytics

ETL/ELT

AWS Glue

Dimensional Modeling

Apply