# SE II Data Engineer (Contract) - 6 Months

**Company**: Keywords Studios
**Location**: Pune, Maharashtra
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Contract
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q64141679

**Apply**: https://jobs.workable.com/view/hkZzG1LdpeZMcoVTzEVQxF/hybrid-se-ii-data-engineer-(contract)---6-months-in-pune-at-keywords-studios?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cecb435b-163

## Description

We are on a mission to rid the world of bad customer service by “mobilizing” the way help is delivered. Today’s consumers want an always-available customer service experience that leaves them feeling valued and respected. Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach.

## Requirements

- Experience: 5+ years of Data Engineering experience, with a proven track record of building complex, high-performance data pipelines and AI-driven systems in production environments.

- Deep Snowflake Expertise: Extensive, hands-on professional experience with Snowflake, including advanced data modeling, schema design, and native Snowflake features.

- Programming Mastery: Expert-level proficiency in Python and SQL, with strong foundational knowledge in data structures, algorithms, and software engineering best practices.

- Snowflake Cortex & GenAI: Demonstrable experience leveraging Snowflake Cortex AI to build scalable GenAI and Agentic use-cases directly within the data platform.

- Advanced Data Pipelines: Extensive experience designing and implementing complex, automated data pipelines utilizing Snowflake Stored Procedures (Snowpark Python/SQL).

- LLM Cost & Performance Optimization: Deep understanding of performance tuning and cost optimization specifically tailored for LLMs, vector searches, and Agentic systems running within cloud data platforms.

- Data Products via Streamlit: Hands-on experience building, deploying, and optimizing interactive data applications and user interfaces using Streamlit.

- Cloud Infrastructure: Familiarity with modern cloud platforms (AWS/GCP/Azure) and their integration with Snowflake data infrastructure.

- System Operations: Solid understanding of production system operations, including observability, data quality monitoring, reliability, and Snowflake security/RBAC.

- Bonus Skills: Experience with modern orchestrators (e.g., Airflow, Dagster), streaming data (Kafka, Snowpipe Streaming), or traditional BI tools is a plus, but secondary to Snowpark/Cortex expertise.

- Education: Bachelor’s Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

- Communication: Strong verbal and written communication skills, with the ability to translate complex AI/data concepts to business stakeholders efficiently.

## Responsibilities

- Cortex & Agentic Architecture: Architect and implement advanced Agentic use-cases leveraging Snowflake Cortex, embedding LLM capabilities (summarization, anomaly detection, automated insights) directly into core data workflows.

- Complex Pipeline Development: Design, build, and deploy highly scalable data pipelines natively within Snowflake using Snowpark and Python/SQL Stored Procedures.

- Cost & Performance Optimization: Rigorously monitor, troubleshoot, and optimize Snowflake compute costs and query performance, specifically focusing on the execution efficiency of LLMs and Agentic functions.

- Streamlit Application Delivery: Rapidly prototype, build, and deploy intelligent, interactive data products and internal tools using Streamlit to surface GenAI insights to business users.

- Data Modeling & Architecture: Apply expert-level data modeling practices to design clean, scalable, and secure data schemas that support both traditional analytics and complex AI/ML workloads.

- Rapid Iteration & Delivery: Operate effectively in a fast-paced contract environment, owning end-to-end technical delivery from architecture to deployment, and hitting the ground running to solve immediate business challenges.

- Cross-Functional Collaboration: Collaborate closely with product managers, analytics teams, and business stakeholders to translate requirements into robust, AI-powered technical solutions.

- Engineering Standards: Maintain high engineering standards by writing clear technical design documents, conducting thorough code reviews, and implementing CI/CD best practices for Snowflake artifacts.

## Benefits

- Hybrid setup

- Worker's insurance

- Paid Time Offs

- Other employee benefits to be discussed by our Talent Acquisition team in India.

## Skills

### Required
- Snowflake
- Python
- SQL
- Snowflake Cortex
- GenAI
- Streamlit
- Cloud Infrastructure
- Data Engineering

### Nice to have
- Airflow
- Dagster
- Kafka
- Snowpipe Streaming
- BI tools

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Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/hkZzG1LdpeZMcoVTzEVQxF/hybrid-se-ii-data-engineer-(contract)---6-months-in-pune-at-keywords-studios?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)