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Connect the dots501-1000 Employees

Jobs at Tredence Analytics Solutions

Tredence is the first analytics services company focused on the last mile of analytics adoption. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create white-box solutions that are typically transitioned to our clients at the end of the engagement in a sustainable way.
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Engineering

Lead GCP Data Engineer

NewPosted 1 week ago

Lead GCP Data Engineer

  • Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
  • Build and optimize data solutions using BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, and Pub/Sub.
Other

Senior BI Engineer (Looker)

NewPosted 1 week ago

Senior BI Engineer (Looker)

  • Design, develop, and maintain enterprise-scale BI solutions using Looker.
  • Build and optimize LookML models, explores, dashboards, and reports.
Engineering

Databricks Engineer

NewPosted 3 weeks ago

Databricks Engineer

  • Lead the design, development, and implementation of enterprise-scale data solutions using Databricks Lakehouse Platform.
  • Design and build scalable data pipelines utilizing Databricks Workflows, Delta Lake, and Spark-based processing frameworks.
Engineering

Snowflake Solution Architect

NewPosted 3 weeks ago

Snowflake Solution Architect

  • Core Snowflake Platform Architecture & Solution Design

  • AI-Accelerated Engineering & Snowflake CoCo Integration

Other

Senior Data Architect

NewPosted 1 month ago

Senior Data Architect

Data Architect — Databricks & Agentic AI

ROLE OVERVIEW

We are looking for a Data Architect who is well versed in the Databricks ecosystem and Databricks architecture to design and deliver agentic AI and data platform solutions on AWS and Databricks. The role spans conversational analytics w...

Engineering

Data Governance Manager

NewPosted 1 month ago

Data Governance Manager

  • Define and implement enterprise Data Governance strategy, operating model, and roadmap.
  • Develop Data Governance Blueprint aligned with business objectives and regulatory requirements.