Tredence seeking Data Modeler with RDBMS, ErWIN/ERStudio
Found in: Whatjobs IN C2 - 3 weeks ago
Job title – Data Modeler
Hybrid role from Location: Bangalore, Chennai, Gurgaon, Pune, Kolkata
Interviews: 3 rounds of 30 ~ 45 Minutes video-based Teams interviews
Employment Type: Permanent Full Time with Tredence
Total Experience – 8~12 years
Required Skills – Data Modeling, RDBMS, SQL/NoSQL, ETL, ErWIN/ERStudio
What we look for:
BE/B.Tech or equivalent
The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.
8+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
Experience in team management, communication, and presentation.
Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
The candidate must be able to work independently and collaboratively.
Responsibilities
Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
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 2,200+ employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and India (Bangalore, Pune, Chennai, Gurugram & Kolkata), with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.
As we complete 11 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.
In 2023, we also plan to hire more than 1000 employees across markets.
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
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