Senior Data Engineer

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. Thats 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, Python, Pyspark and AWS 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 AWS cloud platforms.

Your Role Responsibilities and Duties:

• Work closely with data users to understand business requirements
• You will be actively involved with efforts in designing high-performance, reusable, and scalable data models for our data warehouse to ensure our end-users get consistent and reliable answers when running their own analyses
• Write complex yet optimized data transformations in SQL/Python using dbt or similar technology
• Continuously discover, transform, test, deploy and document data sources
• Apply advanced aggregations and data wrangling techniques such as imputation for predictive analytics
• Work with wide range of tech stack at various levels such as Snowflake, dbt, Airflow, Fivetran, AWS, Spark, GCP Env:BigQuery, Cloud Composer, Cloud Dataflow etc

Required Skillsand Qualifications:

• 7+ years working experience as a data or software engineer in a fast-paced growing company preferably with top-tier companies
• Is independent and has capability to lead projects with minimal supervision
• Excellent SQL and Python knowledge strong hands-on data modeling and data warehousing skills and experience in transformations orchestrated through technologies such as dbt/cloud dataflow would be a plus
• Strong experience applying software engineering best practices to analytics (e.g. version control, testing, and CI/CD)
• Power-user and expert in building scalable data warehouses and pipelines using some of Cloud tools such as Snowflake, AWS, Google Cloud, Cloud ETL tools such as Databricks (Spark/Azure)
• Solid experience with ETL/ELT processes, scheduling tools (e.g. Talend, Airflow) and API management tools
• Experienced with customer, marketing and/or web data (e.g. Salesforce, Google Analytics, AdWords, Youtube etc)
• Good with data visualization tools and packages (e.g. Looker, Tableau, matplotlib)
• Strong attention to details to highlight and address data quality issues
• Self- starter , motivated, responsible, innovative and technology-driven individual who performs well both independently and as a team member
• A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non technical audiences
• Bachelors or Masters degree in Engineering, Math, Statistics, Finance, Economics, or a related field
• Passionate about gaming or gaming industry would be a great plus and conversation starter

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Preferred Qualifications

• Bachelors or masters 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.