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18 Elanco Jobs
Data Engineer
Elanco
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Provide data engineering subject matter expertise and hands-on data- capture, ingestion, curation, and pipeline development expertise on Azure to deliver cloud optimized data solutions.
- Provide expert data PaaS on Azure storage; big data platform services; server-less architectures; Azure SQL DB; NoSQL databases and secure, automated data pipelines.
- Participate in data/data-pipeline architectural discussions to help build cloud native solutions or migrate existing data applications from on premise to Azure platform. Perform current state AS-IS and future state To-Be analysis.
- Participate and help develop data engineering community of practice as a global go-to expert panel/resource.
- Develop and evolve new or existing data engineering methods and procedures to create possible alternative, agile solutions to moderately complex problems.
- Stay abreast with new and emerging data engineering technologies, tools, methodologies, and patterns on Azure and other major public clouds.
- Demonstrate ownership in understanding the organization s strategic direction as it relates to your team and individual goals.
- Bachelors or higher degree in Computer Science or a related discipline.
- At least 2 years of data pipeline and data product design, development, delivery experience and deploying ETL/ELT solutions on Azure Data Factory .
- Azure native data/big-data tools, technologies and services experience including - Storage BLOBS, ADLS, Azure SQL DB, COSMOS DB, NoSQL and SQL Data Warehouse.
- Sound problem solving skills in developing data pipelines using Data Bricks , Stream Analytics and PowerBI.
- Minimum of 2 years of hands-on experience in programming languages, Azure and Big Data technologies such as PowerShell, C#, Java, Python, Scala, SQL, ADLS/Blob, Hadoop, Spark/SparkSQL, Hive, and streaming technologies like Kafka, EventHub etc.
- Knowledge on Distributed System
Employment Type: Full Time, Permanent
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