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Technical Lead
3 weeks ago
Tech Lead-Python, Spark/Scala, Kafka and Cloud storage on Azure Cloud platform
Role
Sr.Data Engineer
Years of Experience
5-7 Yrs
Preferred Location
HYD 2
Shift Timing (IST)
11:00 AM - 08:30 PM
Short Description
Develop batch and real-time streaming data pipelines using Python, Spark/Scala, Kafka and Cloud storage on the Azure Cloud platform, as well as implement and integrate APIs using Microservice architecture in SpringBoot/Java
Engagement Duration (in Months)
18
Engagement & Project Overview
IDStrat Transformation and ClinicalInsights
Primary Responsibilities
Build batch and real-time streaming data pipelines using Python, Spark/Scala, Kafka and Cloud storage on Azure Cloud platform
End-to-End ownership, implement to production deployment
Schedule ETL jobs, monitor the pipeline, resolving the issues
Contribute in designing the data solutions including integration, transformation and loading
Must Have Skills
Should have minimum 5-7 years of experience in Data Engineering and ETL
Minimum 2 years of experience in building data solutions on Azure Cloud
Experience in developing batch and real-time streaming data pipelines using Python, Spark/Scala, Kafka and Cloud storage on Azure Cloud platform
Hands on experience in implementing and integrating APIs using Microservice architecture in SpringBoot/Java
Experience in Azure Data Factory to streamline orchestration and data movement tasks and integrate with Databricks and optimize Spark ETL jobs
Experience in integrating, transforming, and consolidating data from various structured and unstructured data
Experience with Azure services such as ADLS, Databricks, AKS, Azure EventHub, CosmosDB
Strong hold on SQL and NoSQL databases
Translate complex functional and technical requirements into detailed design
Expert in CI/CD including automating data pipelines, monitoring data processes, and managing deployments
Propose best practices/standards
Excellent communication skills.
Nice To Have Skills
Snowflake
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