Principal Data Solutions Engineer

About Tredence :

Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 1,800-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.

As we complete 12 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth.

• Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base.
• Apart from our geographic footprint in the US, Canada & UK.
• Tredence is a Great Place to Work (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance.
• At Tredence, nothing is impossible;

we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible

This position requires someone with good problem solving, business understanding and client presence.

Overall professional experience of the candidate should be atleast 4 years with a maximum experience upto 15 years.

The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.

Candidate should be comfortable with taking leadership roles, in client projects, pre-sales / consulting, solutioning, business development conversations, execution on data engineering projects.

Role Description :

Mandatory Skills

Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake.

Job Location - Bangalore, Chennai, Gurgaon, Pune, Kolkata

Experience Level - 4-8 years ( Data Engineer & Senior Data Engineer 6 + years )

Expected Joining Time - Immediate