Analyst - Enterprise Data Support

3 weeks ago

Bengaluru, India Elanco Full time
At Elanco (NYSE: ELAN) – it all starts with animalsAs a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose – to advance the health of animals, people, the planet and our enterprise.At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.Making animals’ lives better makes life better – join our team todayPurpose:This role is part of Elanco’s DataOps IT Enterprise Data Support team. This team will provide operational support for our Enterprise Data Foundations – the infrastructure, capabilities and data products at the heart of our data-driven business strategy. The Data Engineer Support Analyst role will focus on the monitoring, issue resolution, operational improvement and minor enhancement of this area. Most of these technologies and capabilities will reside in Elanco’s Microsoft Azure subscription – in particular Azure Data Factory, Azure Synapse Analytics, Azure Data Lake and Azure Databricks.The Data Engineer Support will be part of a highly collaborative and cross-functional team of technology and data experts working on solving complex scientific and business challenges in animal health using cutting edge data and analytics technologies. The role is expected to work with teams spread globally across different time zones and will be required to work in shifts to allow for appropriate platform and data product support.Role & ResponsibilitiesProvide data engineering support and subject matter expertise for Elanco’s Enterprise Data Platforms and Data ProductsMonitor the health of our solutions using technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake and Azure Databricks, resolving issues and delivering both operational improvements and minor enhancements.Provide expertise on general data principles, services and architecturesParticipate 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.Work collaboratively and use sound judgment in supporting robust solutions while seeking guidance on complex problems.Follow Elanco’s corporate standards for service delivery and service management – capturing appropriate detail in ServiceNow for incidents, changes, service requests, releases and problems.Work in a shift-based schedule to allow for appropriate time-zone support.Basic Qualifications (Must have)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

Databricks , 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.Good to Have Skills:Hands-on experience in implementing data migration and data processing using Azure services: Windows/Linux virtual machines, Docker Container and Kubernetes Cluster Management, AutoScaling, Azure Functions, Server-less Architecture, ARM Templates, Logic Apps and Data Factory, Azure network security group, Key management service, etc.ITIL Qualifications – or at least a good understanding of Incident Management, Change Management, Release Management and Problem Management, Service Requests, Bug Fixes.Knowledge of Spark Framework versionCloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.Experience in using Hadoop File Formats and compression techniques.DevOps on an Azure platform.Experience working with Developer tools such as Visual Studio, GitLabs, Jenkins, etc.Familiarity with metadata management tools, techniques and technologies such as Data Catalog & Dictionaries, Data Governance, Data Quality, MDM, and Data Lineage.Experience with private and public cloud architectures, pros/cons, and migration considerations.Proven ability to work independently.Proven ability to work in a team-oriented environment and work collaboratively in a problem-solving environment.Excellent written and oral communication and interpersonal skills.Excellent organizational and multi-tasking.Great-to-Have SkillsMicrosoft Azure certificationsMulti-cloud experience is a plus – especially Google Cloud Platform

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