Forward Deployed Engineer

Skypoint; Bengaluru; On-site; INR 800,000 - 1,300,000; Full time

Job summary

Skypoint in Bengaluru is seeking a data engineering and analytics specialist to own end‑to‑end implementations for U.S. customers. You will design, build, and optimize data solutions that bridge customer needs with Skypoint's platform.

You will work on ETL/ELT pipelines, data modeling, Power BI dashboards, and production Python/SQL code, while integrating diverse data sources and providing actionable KPI reporting for strategic decisions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related discipline.
• 2–5 years of hands‑on work in data engineering, analytics engineering, BI, implementation engineering, or comparable technical roles.
• Proficiency in Python and SQL for data work with clean, maintainable code.
• 2+ years of direct, hands‑on Power BI experience including DAX, Power Query, semantic models, and dashboards.
• Strong data modeling knowledge and architectural patterns for analytics.
• Experience consuming/building APIs to connect diverse data sources.
• Excellent troubleshooting and communication, ability to work with U.S. customers across PST/PDT.

Responsibilities

• Designing and building ETL/ELT pipelines using cloud and Lakehouse platforms like Databricks, Azure, Snowflake, or Microsoft Fabric
• Creating data models using star and snowflake schemas, semantic models, and dimensional modeling approaches
• Developing Power BI solutions including DAX expressions, Power Query transformations, semantic layers, dashboards, and configurations within Power BI Service
• Writing production Python and SQL code for data transformation, integration, validation, and quality assurance
• Integrating data from multiple systems via APIs and building connectors for diverse data sources
• Building executive dashboards and KPI reporting solutions tailored to customer strategy and decision‑making
• Troubleshooting data pipeline failures, performance issues, and integration problems independently

Skills

Python

SQL

Power BI

DAX

Power Query

semantic models

data modeling

APIs

troubleshooting

communication

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Tools

Databricks

Azure

Snowflake

Microsoft Fabric

AWS

Job description

Batch: 2020/2021/2022/2023/2024. About the role:

• You'll serve as a technical specialist embedded with U.S.-based customers, owning data engineering and analytics implementations from start to finish
• Your work bridges the gap between customer needs and Skypoint's platform capabilities, requiring you to design, build, and optimize data solutions that drive business impact
• You’ll take full technical responsibility for deliverables in a customer‑facing environment where your decisions directly shape project success

What you’ll work on:

• Designing and building ETL/ELT pipelines using cloud and Lakehouse platforms like Databricks, Azure, Snowflake, or Microsoft Fabric
• Creating data models using star and snowflake schemas, semantic models, and dimensional modeling approaches
• Developing Power BI solutions including DAX expressions, Power Query transformations, semantic layers, dashboards, and configurations within Power BI Service
• Writing production Python and SQL code for data transformation, integration, validation, and quality assurance
• Integrating data from multiple systems via APIs and building connectors for diverse data sources
• Building executive dashboards and KPI reporting solutions tailored to customer strategy and decision‑making
• Troubleshooting data pipeline failures, performance issues, and integration problems independently

What we’re looking for:

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related discipline
• 2–5 years of hands‑on work in data engineering, analytics engineering, BI, implementation engineering, or comparable technical roles
• Demonstrated expertise in Python and SQL for data work, with proven ability to write clean, maintainable code
• 2+ years of direct, hands‑on experience with Power BI, including DAX, Power Query, semantic models, and dashboard development
• Solid grasp of data modeling principles and architectural patterns used in analytical systems
• Experience consuming and building APIs to connect disparate data sources
• Strong troubleshooting mindset with the ability to diagnose root causes and resolve complex technical issues
• Clear communication skills and comfort building relationships with customers and external partners
• Willingness to work during PST/PDT business hours to align with U.S. customer schedules

Good to know:

• Prior exposure to healthcare data, healthcare analytics systems, or other regulated data environments is valuable
• Familiarity with Lakehouse architectures and modern cloud data platforms strengthens your fit
• Experience with AWS, Azure, Databricks, Snowflake, or Microsoft Fabric is a plus
• Background in a similar customer‑facing role such as Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, Analytics Engineer, or Data Engineer helps
• Hands‑on work with Generative AI, AI agents, LLMs, or AI‑assisted development tools is increasingly relevant