Senior Data Engineer O & G

USEReady Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

USEReady Inc. seeks a hands-on Technical Senior Data Engineer (7-10 years) to design, build, and optimize scalable data pipelines and cloud data platforms.

The ideal candidate will work across Operations, Engineering, and Finance data, bringing experience with SCADA, PI systems, historians, telemetry, IoT, and OT/IT integration. The role focuses on delivering Bronze–Gold medallion data layers and robust data governance, with batch and near-real-time ingestion using ETL/ELT, CDC, APIs, and

Qualifications

• 7–12 years of professional software or data engineering experience in cloud-native data platforms.
• Seasoned experience working with Operations, Engineering, and Finance data.
• Hands-on experience with SCADA, PI systems, historians, telemetry, IoT, and OT/IT integration.
• Proficiency with Microsoft Fabric, Azure data services, Databricks, and Snowflake.
• Advanced SQL, Python, Spark, Airflow, and modern orchestration/CI/CD tools.
• Ability to scale real-time and batch pipelines while maintaining RTO/RPO, data quality, and observability.

Responsibilities

• Own data acquisition, contextualization, integration, and scalability across historian, telemetry, SCADA, IoT.
• Bridge OT and IT environments, enabling seamless integration with enterprise analytics.
• Architect and build pipelines across Operations, Engineering, and Finance domains.
• Design batch and near-real-time ingestion pipelines using ETL/ELT, CDC, APIs, and event-driven approaches.
• Lead Bronze, Silver, Gold data layers with transformation boundaries and data quality controls.
• Build and maintain enterprise data access services, APIs, and governed sharing patterns.
• Embed security, masking, encryption, RBAC, lineage, and metadata tracking into workflows.
• Maintain production pipelines with monitoring, testing, data reconciliation, and incident response.
• Optimize cloud resources, query performance, and storage costs across Azure, Databricks, Snowflake.
• Uphold CI/CD standards and infrastructure-as-code practices.

Skills

Cloud data platforms

SQL

Python

Spark

Airflow

CI/CD

Data governance

Tools

Microsoft Fabric

Azure data services

Databricks

Snowflake

Job description

Position Summary

USEReady is seeking a hands-on, Technical Senior Data Engineer (7-10 years experience) to design, build, and optimize scalable data pipelines and modern cloud data platforms. The ideal candidates are seasoned professionals with deep experience working across Operations, Engineering, and Finance data, bringing specialized knowledge of SCADA, PI systems, historians, telemetry, IoT, and OT/IT source system integration. This role will focus heavily on execution across Microsoft Fabric, Azure data services, Databricks, and Snowflake.

Key Responsibilities

• Operational & Industrial Data Integration: Own data acquisition, contextualization, integration, and scalability across historian, telemetry, SCADA, IoT, and future operational data platforms.

• OT/IT Source System Integration: Bridge operational technology (OT) and information technology (IT) environments, ensuring seamless integration between industrial source systems and enterprise analytical platforms.

• Cross-Functional Data Architecture: Architect and build pipelines handling complex datasets spanning Operations, Engineering, and Finance domains.

• Pipeline Development: Design and build batch and near-real-time ingestion pipelines utilizing ETL/ELT, change data capture (CDC), APIs, and event-driven integration.

• Medallion Architecture: Lead the hands-on delivery of Bronze, Silver, and Gold data layers with clear transformation boundaries, data quality controls, and lifecycle management.

• Data Access & Integration: Build and maintain enterprise data access services, APIs, and governed sharing patterns to support downstream analytics, applications, and AI workloads.

• Data Governance & Security: Embed security, data masking, encryption, role-based access controls (RBAC), lineage, and metadata tracking directly into data workflows.

• DataOps & Reliability: Maintain production data pipelines with active monitoring, alerting, observability, automated testing, data reconciliation, and incident response.

• Performance & FinOps: Optimize cloud resource consumption, query performance, and storage costs across Azure, Databricks, and Snowflake environments.

• CI/CD & Engineering Standards: Uphold engineering best practices including source control, peer reviews, infrastructure-as-code, and automated deployment pipelines.

Required Qualifications

• Experience: 7-12 years of professional software or data engineering experience with a strong focus on cloud-native data platforms.

• Domain & Functional Data: Seasoned experience working directly with Operations, Engineering, and Finance data.

• Industrial & OT Systems: Hands-on experience with SCADA, PI systems, industrial historians, telemetry, IoT, and OT/IT source system integration.

• Core Tech Stack: Hands-on proficiency with Microsoft Fabric, Azure data services, Databricks, and Snowflake.

• Engineering Tools: Advanced fluency in SQL, Python, Spark, Airflow and modern orchestration or CI/CD frameworks.

• Operational Mindset: Demonstrated experience scaling real-time/batch pipelines while maintaining strict RTO/RPO, data quality, and observability standards.