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Eton Technologies

Compare

3.9

based on 7 Reviews

10 Eton Technologies Jobs

Databricks Developer

Eton Technologies

3.9

based on 7 Reviews

1-3 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Databricks Developer

Eton Technologies

posted 17hr ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding SQL Clinical Data Management Big Data Spark Agile Coaching

+ 4 more

Job Description

Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks.
Delivering and presenting proofs of concept of key technology components to project stakeholders.
Developing scalable and re-usable frameworks for ingesting assorted data sets.
Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data are always maintained.
Working with event-based / streaming technologies to ingest and process data.
Working with other members of the project team to support the delivery of additional project components (API interfaces, Search).
Working with Azure CI/CD pipelines.
Working with Azure Dev Ops to support and maintain source control.
Evaluating the performance and applicability of multiple tools against customer. requirements.
Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
Strong knowledge of Data Management principles.
Experience in building ETL / data warehouse transformation processes
Direct experience in building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks).
Experience using geospatial frameworks on Apache Spark and associated design and development patterns.
Microsoft Azure Big Data Architecture certification.
Hands-on experience designing and delivering solutions using the Azure Data. Analytics platform (Cortana Intelligence Platform) including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics.