Sr. Data Engineer

Overview

Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India

Position Summary

We are looking for a Senior Data Engineer with strong expertise in Databricks, Apache Spark, and Power BI (DAX) to design, build, and optimize scalable data platforms. This role requires hands-on ownership of data pipelines, analytics solutions, and reporting frameworks that support advanced business intelligence and decision-making. You will work closely with business stakeholders, data scientists, and analysts to deliver high-quality, governed, and performance-optimized data solutions on Azure cloud platforms.

Your Role Responsibilities And Duties

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
• Integrate structured and unstructured data from multiple sources into centralized data lakes and warehouses.
• Build and optimize interactive dashboards and reports using Power BI to enable real-time insights.
• Write complex DAX expressions for KPIs, measures, and calculated columns.
• Implement robust data models using Delta Lake and Unity Catalog.
• Optimize data storage, query performance, and cost-efficiency in Azure environments.
• Ensure data quality, governance, lineage, and security across pipelines.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Mentor junior engineers and promote best practices in data engineering.
• Stay updated with emerging data engineering tools, frameworks, and cloud technologies.
  
  

• 5+ years of experience in Data Engineering roles.
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Expertise in Power BI, including DAX, Power Query, and performance optimization.
• Proficiency in Python, PySpark, and SQL for data transformation and pipeline development.
• Solid understanding of data warehousing concepts, ETL processes, and data modeling.
• Experience working on Azure cloud services for data storage and processing.
• Familiarity with Git and Azure DevOps for CI/CD pipelines.
• Strong problem-solving skills with attention to detail.
• Excellent communication and stakeholder collaboration skills.
  
  

• Bachelor’s or master’s degree in computer science, Data Science, IT, or a related field.
• Prior experience in enterprise or consulting environments.
• Exposure to additional BI or visualization tools is a plus.
• Understanding of data security, access control, and governance frameworks.
  
  

• Bootstrapped and financially stable with high pre-money evaluation.
• Above industry renumerations.
• Additional compensation tied to Renewal and Pilot Project Execution.
• Additional lucrative business development compensation.
• Firm building opportunities that offer stage for holistic professional development, growth, and branding.
• Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning.