About Saarthee:
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. Our diverse and global team work with one objective in mind: Our Customers Success. At Saarthee, we are passionate about guiding organizations to wards insights fueled success. That's why we call ourselves Saartheeinspired 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.
Required Skillsand Qualifications:
- 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.
Preferred Qualifications
- 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.
What we Offer:
- Opportunity to work on enterprise-scale data platforms and high-impact analytics initiatives.
- Exposure to modern cloud-based data engineering architectures.
- Collaborative and learning-driven culture with strong mentoring support.
- Competitive compensation aligned with industry standards.
- A role that enables both technical depth and business impact.
