Data Engineer SE - II

Overview

Data Engineer SE - II role building scalable backend systems and data workflows for data-intensive and analytics-driven use cases at Helpshift.

What you'll do

• 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

What you'll need

• 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)
• Bachelor's Degree in Computer Science (or equivalent)
• Strong verbal and written communication skills

Nice to have

• 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)

Details

• Location: Pune, Maharashtra, India
• Work mode: Hybrid
• Benefits include worker's insurance, paid time offs, and other employee benefits to be discussed by the Talent Acquisition team in India