Senior Data Engineer (India)

NEPSE Trading; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

NEPSE Trading in India is seeking a Lead Data Engineer to design, build, and operationalize scalable data solutions for analytics and AI/ML initiatives. You will architect end-to-end pipelines using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL, optimizing data warehouses, data lakes, and real-time integrations.

You will lead a data engineering team, mentor juniors, ensure governance for GxP and HIPAA/GDPR where applicable, and collaborate with stakeholders to deliver self-serve

Qualifications

• Expert-level proficiency in Databricks, PySpark, Azure Data Factory, and Azure SQL.
• Experience with data warehouses, data lakes, and real-time data integration.
• Strong knowledge of Azure ecosystem and governance standards (GxP, HIPAA/GDPR).
• 5-8 years designing and building enterprise-scale data solutions.

Responsibilities

• Design, build, and operationalize end-to-end data pipelines across bronze/silver/gold layers.
• Architect scalable data models and optimize Spark/SQL workloads.
• Lead automation and CI/CD practices for data jobs and pipelines.
• Mentor junior engineers and collaborate with stakeholders to align data products with business goals.

Skills

Databricks

Azure Fabric

PySpark

SQL

Azure Data Factory

ADLS Gen2

Azure SQL Server

Power BI

Tableau

Looker

Git

CI/CD

IaC (ARM/Bicep/Terraform)

Education

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

Master's degree preferred

Tools

Azure DevOps

Git

REST/JSON

CI/CD pipelines

Job description

## About the roleThe Lead Data Engineer will design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives. This role requires expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and the Azure ecosystem, with deep experience across data warehouses, data lakes, and real-time integration. The Lead Data Engineer will architect end-to-end pipelines using industry-standard tools, drive automation, and move solutions effectively into production.The incumbent will ensure compliance with data governance### requirements(including GxP and HIPAA/GDPR) while building reusable, integrated pipelines and analytical models that promote self-service analytics. This role provides technical leadership across the team, mentors junior engineers, and partners with business stakeholders to align data engineering with organizational objectives. About the Role .Data Architecture & Engineering Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL. Design, build, and maintain data pipelines from data sources through integration to consumption for specific use cases. Implement robust data modeling standards across bronze, silver, and gold layers in the data lake.Develop data models (conceptual, logical, and/or physical) as required. Optimize Spark and SQL workloads for performance, scalability, and cost efficiency. Manage metadata using data preparation, integration, and AI-enabled tools and techniques...Data Integration & Automation Drive automation in data integration; recommend and lead implementation of techniques to automate repeatable data preparation and integration tasks. Build API-based integrations (REST/JSON) and real-time ingestion frameworks. Automate data workflows using Azure DevOps pipelines and Git-based CI/CD practices.Implement parameterized, reusable pipeline templates for ingestion and transformation. Develop automated unit, regression, and integration testing frameworks for data jobs... Analytics & Data Enablement Prepare and curate high-quality datasets for BI, reporting, and advanced analytics.Partner with analytics teams using Power BI, Tableau, or similar platforms to define semantic models and KPIs. Implement performance-optimized data models for self-service analytics. Will occasionally provide support to end users on the use of data visualization solutions.Stakeholder Engagement & Leadership Lead technical design reviews, mentor junior engineers, and promote best practices. Assist cross-functional groups, business analysts, and stakeholders to gather, define, and refine data requirements. Collaborate with business and IT stakeholders to align data engineering with organizational objectives.Propose innovative data ingestion, preparation, and integration techniques to address stakeholder requirements. Contribute to architectural roadmaps and technology evaluations for the data platform. In collaboration with functional leaders, identify inefficiencies and recommend improvements to the executive team.About You Job Experience & Education Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred) And 5-8 years of experience designing and developing enterprise-scale data solutions (data warehouses, data lakes, operational databases) Other: Expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and Azure DevOps. Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server. Strong experience with Microsoft Azure data management architectures including Data Warehouse, Data Lake, and Data Catalogue, and supporting processes such as Data Integration, Governance, and Metadata Management.Experience with Power BI required; Tableau or Looker a plus. Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM, Bicep, or Terraform). Experience in life sciences or healthcare industries is a strong plus.Good understanding of GxP, GDPR/HIPAA, and applicable CFR/CTR/CTD regulations. Demonstrated success working with both IT and business stakeholders while integrating analytics and data science output into business processes and workflows. Must have excellent written and verbal communication skills.Proven ability to work independently and as part of a team and meet important deadlines. Statistical analysis skills are an asset. Originally posted on Himalayas## Required skillsData EngineerLead Data EngineerBig Data EngineerData ArchitectSenior Data EngineeringsqlLocation: India