DATABRICKS EXPERT @ EMPEREN TECHNOLOGIES
Emperen Technologies is seeking elite Databricks talent to join our global team of experts. As an Official Databricks Partner, we specialize in helping enterprises scale their data transformation initiatives faster, smarter, and more cost-efficiently. We are looking for professionals who can hit the ground running on a contract or hourly basis to meet urgent delivery needs for our diverse portfolio of enterprise clients.
Candidates will be responsible for leveraging Azure Databricks, Spark, and PySpark to build robust data pipelines and architectures. The role involves deep involvement in data migration, modernization, and the integration of AI/ML models into existing business analytics frameworks. You will work closely with Data Engineers and Architects to enable outcomes that drive business value. If you possess deep technical capability and a proven track record in data initiatives, we encourage you to apply.
Candidates will be responsible for leveraging Azure Databricks, Spark, and PySpark to build robust data pipelines and architectures. The role involves deep involvement in data migration, modernization, and the integration of AI/ML models into existing business analytics frameworks. You will work closely with Data Engineers and Architects to enable outcomes that drive business value. If you possess deep technical capability and a proven track record in data initiatives, we encourage you to apply.
Key Requirements
Proficiency in Azure Databricks and Apache Spark ecosystems.
Strong experience with PySpark for large-scale data processing.
Solid background in Data Engineering and Data Architecture principles.
Expertise in Data Migration and Modernization of legacy systems.
Ability to integrate AI/ML and Analytics into production data pipelines.
Available to work on a Contract and Hourly Basis for urgent delivery.
Strong communication skills for collaborating with CTOs and Head of Data roles.
Experience with cloud infrastructure and security best practices.
Proven ability to deliver high-quality talent outcomes in fast-paced environments.
Knowledge of Spark optimization and performance tuning techniques.