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8.0 - 10.0 years
0 Lacs
chennai, tamil nadu, india
On-site
Job Title: Databricks Lead Location: Chennai/Hyderabad/Bangalore Experience: 8-10 years of overall experience and 5+ years of hands-on leadership in data engineering projects Budget: Open to discuss Notice Period : Immediate joiner/ Serving notice with less than 60 days/Notice is less than 60 days About the Role We are looking for a highly skilled Databricks Lead with 810 years of overall experience and 5+ years of hands-on leadership in data engineering projects. The ideal candidate will lead teams in designing, building, and optimizing scalable data pipelines and Lakehouse solutions on Databricks. Key Responsibilities Lead the development and delivery of end-to-end data pipelines using Dat...
Posted 1 week ago
10.0 - 15.0 years
0 Lacs
chennai, tamil nadu, india
On-site
Job Title: Databricks Architect Location: Chennai/Hyderabad/Bangalore Experience: 1015 years of overall experience and 5+ years in Data Architecture Budget: Open to discuss Notice Period : Immediate joiner/ Serving notice with less than 60 days/Notice is less than 60 days About the Role We are seeking a seasoned Databricks Architect with 1015 years of overall experience and 5+ years in Data Architecture to lead the design and implementation of scalable, cloud-native data platforms. You will drive technical strategy, define Lakehouse architecture standards, and guide engineering teams in building high-performance data solutions. Key Responsibilities Architect and implement enterprise-scale da...
Posted 2 weeks ago
3.0 - 7.0 years
0 Lacs
hyderabad, telangana
On-site
As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for t...
Posted 5 months ago
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