At Elanco (NYSE: ELAN) – it all starts with animals!
As 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. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.
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 today!
Your Role: Senior Data Engineer
Senior Data Engineer is delivery-focused. The person in this role will drive data pipeline and data product delivery through data- architecture, modeling, design and development a professional grade solutions on premise and/or Microsoft Azure cloud. Partner with data scientists and statisticians across Elanco global business functions to help prepare and transform their data into data products that further drive the scientific and/or business knowledge discovery, insights and forecasting. Data engineer 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 data engineer is expected to work with teams spread globally across different time zones. The data engineer in this role must also be well versed in Data Management, Data Governance, Master Data Management, and Knowledge Graph Representation. This role requires sound understanding of animal health data from different domains – R&D, Sales & Marketing, Commercial, Regulatory and Supply Chain. Proven learning agility and ability to translate complex business problems and challenges into tangible data pipelines and data products of high value. The ideal candidate would be responsible for developing and delivering highly performant, scalable (small- to big- data), robust and secure Azure cloud data pipelines enabling AI/ML/Deep-Learning, Advanced Analytics, Enterprise Collaboration, Micro-services, IoT and Server-less Compute.
Your Responsibilities:
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, IaaS, or SaaS consultancy 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.
Work collaboratively and use sound judgment in developing robust solution while seeking guidance on complex problems.
What You Need to Succeed (minimum qualifications):
At least 3 years of data pipeline and data product design, development and delivery experience on Azure.
At least 3 years of experience in developing data- capture, ingestion, processing and analytical pipelines for small to big data, relational databases, NoSQL and data warehouse based solutions.
Azure native data/big-data tools, technologies and services experience including – Storage BLOBS, ADLS, Azure SQL DB, COSMOS DB, and SQL Data Warehouse.
Sound problem solving skills in developing data pipelines and data products using Azure storage, search, catalog, and data processing & analytics services such as Azure Data Factory, SDK, CLI, Import/Export Service, HDInsight, Data Bricks, Stream Analytics and PowerBI.
Experience developing and deploying ETL / ELT solutions on Azure
Experience in Dell Boomi integrations
Minimum of 2 years of hands-on experience in programming languages, Azure and Big Data technologies such as Powershell, C#, Java, Node.js, react/redux, Python, SQL, ADLS/Blob, Hadoop, Spark/SparkSQL, Hive, Pig, Oozie and streaming technologies like Kafka, EventHub, open source Apache NiFi etc.
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.
Cloud 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.
Bachelors or higher degree in Computer Science or a related discipline.
What will give you a competitive edge (preferred qualifications):
Azure MCSA Cloud Platform Training & Certification
MCSD Azure Solutions Architect Training & Certification
Multi-cloud experience is a plus.
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.
Additional Information:
Travel: 0%
Location: India, Bangalore
Don’t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.