Senior Cloud Data Engineer

3 days ago


Bengaluru, Karnataka, India Elanco Full time

At Elanco, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.

We pride ourselves on fostering a diverse and inclusive work environment where diversity is the driving force behind innovation, creativity, and overall business success.

The data engineer's role is delivery focused, driving data pipeline and data product delivery through data-architecture, modeling, design, and development of professional-grade solutions on-premise and/or Microsoft Azure cloud.

We partner with data scientists and statisticians across Elanco global business functions to help prepare and transform their data into data products that further drive scientific and/or business knowledge discovery, insights, and forecasting.

This role requires sound understanding of animal health data from different domains – R&D, Sales & Marketing, Commercial, Regulatory, and Supply Chain.

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.

Key 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.
  • Participate in data/data-pipeline architectural discussions to help build cloud-native solutions or migrate existing data applications from on-premise to Azure platform.
  • 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.
Requirements:
  • Bachelor's 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.

We offer an estimated annual salary of $120,000-$180,000 based on location and experience.


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