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Technology Partner - Databricks

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role within Tiger’s core Data & Insights Solutions practice. This individual will bring both breadth and depth of technology expertise, with a demonstrated track record of delivering large-scale transformations, leading innovation-driven practices, and consulting with and managing executive stakeholders across IT and business functions.

Key Responsibilities

Thought Leadership and Client Engagement

Job Skills

color professional certified engineer leadership advisory databricks managing data scalable integration analytics talent real time streaming big datum distribute computing apache spark cloud service azure datum lake sql data pipeline governance cloud native nosql data services consultants experience design data engineering azure data technology solution azure databrick career development event driven integrating delivery quality engineering data data processing batch processing analytics workflows innovation certified data analyst machine learn data warehouses solution architecture governing data data science reference architecture google cloud market research consulting pre sales capability development disability machine learning think leadership ETL solution design certified professional scale recommendations solution data architecture operating transformation business development manage track
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Platform Data Engineer (DataOps / Orchestration) - Latin America - Remote

posted by: spj_bot

Azumo is currently looking for a senior Platform Data Engineer to support and stabilize a modern cloud data platform during a period of growth and integration. This position is FULLY REMOTE based in Latin America-


This role sits at the intersection of data engineering and data operations (DataOps).
Your primary responsibility will be to ensure that the frameworks used to build, deploy, and operate data pipelines are scalable, reliable, and maintainable, while reducing operational burden on the internal data team. This is a platform-centric role focused on orchestration and reliability rather than a pure BI or SQL-only data engineering position.

Requirements

The Platform Data Engineer (DataOps) will be based remotely.

Basic Qualifications:

Job Skills

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Data Platform Lead (Remote - New York or Georgia)

posted by: spj_bot

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Platform Lead in New York/Atlanta.

This role is ideal for a technical leader passionate about building robust, scalable data infrastructure to support real-time analytics, automation, and AI applications. As the Data Platform Lead, you’ll architect and guide the development of advanced data pipelines that integrate real-time and batch processing from various data sources, including IoT and EHR systems. You’ll collaborate closely with engineering, cloud, and healthcare technology teams to ensure data integrity, security, and performance across the platform. This is a mission-driven opportunity to reshape healthcare operations and patient outcomes through innovative data solutions.

Accountabilities:

Job Skills

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Senior Software Engineer - Data Engineering - (Remote - India)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer - Data Engineering in India.

This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.

Accountabilities:

Job Skills

data engineering python data infrastructure document systems product engineering distributed systems sql performance optimization work model java senior engineer scala data streaming data data stream best practices data pipelines tensorflow nosql training and development engineer data event driven equity software engineer broadband data warehousing real time infrastructure analytics data engineer kinesis ETL scikit learn design build software engineering collaboration validation cloud platforms data quality seasoned cross functional teams collaborate data science medical insurance innovation EMR operationalize machine learn monitoring systems data processing batch processing integrate flink apache spark unstructured datum scalable pytorch testing frameworks scale databricks build systems fault tolerant event processing
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