# Data Engineer SE - II

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

**Apply**: https://jobs.workable.com/view/npDQXG7osMYKTetpaQDDKj/hybrid-data-engineer-se---ii-in-pune-at-keywords-studios?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ce6532aa-723

## 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

- 4+ years of experience in backend engineering, building scalable, reliable, and high-performance systems in production environments

- Strong proficiency in at least one high-level programming language (Python, Java, or similar) with solid grounding in data structures, algorithms, and problem-solving

- Strong working knowledge of SQL, including query optimization, performance tuning, and working with large-scale datasets

- Hands-on experience with relational and/or analytical databases (e.g., Snowflake, Redshift, PostgreSQL, MySQL, etc.), including data modeling and schema design

- Good understanding of distributed systems fundamentals, including scalability, fault tolerance, and system design

- Familiarity with cloud platforms (AWS/GCP/Azure) and modern data infrastructure concepts

- Exposure to data-intensive applications, such as high-throughput APIs, event-driven systems, or analytics platforms

- Interest in or experience with modern data platforms (e.g., Snowflake) and willingness to quickly learn data engineering tooling and paradigms

- Basic understanding of security, networking, and production system operations (monitoring, observability, reliability)

- Exposure to or strong interest in GenAI/LLM capabilities (e.g., embeddings, vector search, prompt engineering, or LLM-powered applications) is highly desirable

- Experience with streaming or real-time systems (Kafka, Kinesis, etc.) is a plus

- Experience with data pipeline technologies (Spark, Airflow, etc.) is a plus

- Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc)

- Bachelor’s Degree in Computer Science (or equivalent)

- Strong verbal and written communication skills

## Responsibilities

- Design and build scalable backend systems that power data-intensive and analytics-driven use cases

- Develop high-performance data access layers and services, enabling efficient querying, transformation, and serving of large datasets

- Work with modern platforms like Snowflake to build and optimize data workflows

- Build and contribute to intelligent data products, leveraging GenAI/LLM capabilities for use cases like anomaly detection, summarization, and insights generation

- Apply strong data modeling practices to design clean, scalable, and maintainable data schemas for analytics and product use cases

- Collaborate closely with product, analytics, and business stakeholders to translate requirements into robust technical solutions

- Own end-to-end system design including architecture, performance, scalability, reliability, and security considerations

- Continuously improve system performance through query optimization, caching strategies, and efficient data access patterns

- Contribute to real-time and near real-time data processing systems where required

- Write clear design documents, conduct code reviews, and ensure high engineering standards

- Mentor team members on backend engineering best practices, system design, and modern data platform usage

## Benefits

- Hybrid setup

- Worker's insurance

- Paid Time Offs

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

## Skills

### Required
- Python
- Java
- SQL
- Snowflake
- Redshift
- PostgreSQL
- MySQL
- AWS
- GCP
- Azure
- data structures
- algorithms
- problem-solving
- data modeling
- schema design
- distributed systems
- scalability
- fault tolerance
- system design
- cloud platforms
- data infrastructure
- data-intensive applications
- GenAI/LLM capabilities
- streaming systems
- real-time systems
- data pipeline technologies
- data visualization

### Nice to have
- Experience with streaming or real-time systems (Kafka, Kinesis, etc.)
- Experience with data pipeline technologies (Spark, Airflow, etc.)
- Data visualization skills (PowerBI, Metabase, Tableau, Hex, Sigma, etc)

---

Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/npDQXG7osMYKTetpaQDDKj/hybrid-data-engineer-se---ii-in-pune-at-keywords-studios?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)