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Senior Data Architect
2 months ago
About Tredence Inc.
Tredence Inc. is a global data science solutions provider that empowers businesses to unlock the full potential of their data. With a strong focus on solving the last-mile problem in AI, our team of experts helps clients win and accelerate value realization from their analytics investments.
Our Approach
We take a vertical-first approach, combining an outcome-driven mindset with tailor-made solutions to bridge the gap between insight delivery and value realization. Our team of 1,800-plus employees, with offices in multiple locations, serves the largest companies in various industries, including retail, CPG, hi-tech, telecom, healthcare, travel, and industrials.
Expansion and Growth
Tredence Inc. is on the cusp of an ambitious and exciting phase of expansion and growth, fueled by a recent USD 175 million Series B funding. We plan to open offices in new locations, hire over 1,000 employees, and strengthen our vertical capabilities to reach a broader customer base.
A Great Place to Work
We value our employees and create a positive work culture by providing opportunities for professional development and promoting work-life balance. Our company is Great Place to Work (GPTW) certified and committed to pushing ourselves to limitless possibilities.
Job Requirements
This position requires someone with excellent problem-solving skills, business understanding, and client presence. The ideal candidate will have at least 5 years of experience, with a maximum of 15 years, and possess knowledge of emerging technologies used in data management, including data governance, data quality, security, data integration, processing, and provisioning.
Key Responsibilities
The successful candidate will be responsible for developing modern data warehouse solutions using Databricks and Azure Stack, providing forward-thinking solutions in data engineering and analytics, collaborating with DW/BI leads, and driving technical discussions with client architects and team members.
Key Skills
The candidate must have a good understanding of Databricks Data & AI platform, Databricks Delta Lake Architecture, and hands-on experience in SQL, Python, and Spark (PySpark). Experience in building ETL/data warehouse transformation processes, proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshooting are also required.
Job Location
Kolkata
Experience Level
Sr. Data Engineer (5-8 years), Lead Data Engineer (9-12 years)
Expected Joining Time
Immediate to 30 days