Data Engineer, 3

Job Description & Responsibilities

• Develop data products, infrastructure and data pipelines leveraging AWS and Databricks/Snowflake Data Platform ecosystem or prior experience with services such as Redshift, Kinesis, EMR, Lambda etc. and tools  such as Glue, Apache Spark, Job Scheduler etc.
• Designing and providing support for ETL / ELT / File Movement of data using Databricks or Snowflake with PySpark,Python and Spark SQL.
• Develop new data models and end to data pipelines.
• Working with Leads and Architects on developing robust and scalable data pipelines to ingest, transform, and analyse large volumes of structured and unstructured data from diverse data sources. 
• Experience with Pipeline optimisation for performance, reliability, and scalability.
• Contributes to initiatives to enhance data quality, governance and security across the organisation, ensuring compliance with guidelines and industry best practices.
• Builds innovative solutions to acquiring and enriching data from a variety of data sources. 
• Conducts insightful and physical database design, designs key and indexing schemes and designs partitioning.
•  Participates in building and testing business continuity & disaster recovery procedures per requirements

What we are looking for

• Bachelor’s degree in Computer Science /Information Systems/Engineering/related field 
• 6-8  years of experience in Data Platform Ecosystem of Databricks/Snowflake or Lakehouse Ecosystem
• Prior experience in Apache Spark performance tuning and debugging 
• Experience in Workflow Scheduler eg. KubeFlow, AirFlow, Oozie etc. 
• SQL experience eg. SparkSql, Impala, BigQuery, Presto/Trino, StarRocks etc. 
• Experience debugging and reasoning about production issues is desirable 
• Analytical problem-solving capabilities & experience. 
• Strong knowledge of Modern Data Warehouse technologies
• Extensive knowledge of cloud technologies such as AWS and GCP.
• Excellent SQL and python skills.
• Experience in deploying and scheduling code bases in a data development environment.
• Comfortable working alongside cross-functional teams interacting with Product Managers, Infrastructure Engineers, Data Architects
• Monitor system performance and troubleshoot any issues
• Perform incident investigation, diagnosis and provide resolution

Preferred Skills

Delta Lake Unity Catalog, PySpark,Spark SQL, Scala, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts

 

Since 1992, Omnicell has been committed to transforming pharmacy care through outcomes-centric innovation designed to optimize clinical and business outcomes across all settings of care. We strive to be the healthcare provider’s most trusted partner by our guiding promise of “Outcomes. Defined and Delivered.”    Our comprehensive portfolio of robotics, smart devices, intelligent software, and expert services is helping healthcare facilities worldwide to improve business and clinical outcomes as they move closer to the industry vision of the Autonomous Pharmacy.  Our guiding principles inform everything we do: 

• As Passionate Transformers, we find a better way to innovate relentlessly. 
• Being Mission Driven, we consistently deliver on our promises. 
• Our Entrepreneurial spirit makes the most of EVERY opportunity for innovation. 
• Understanding that Relationships Matter creates synergies that yield the greatest benefits for all.
• In Doing the Right Thing, we lead by example in ALL we do. 

We value creating an inclusive culture and a healthier world through ESG initiatives, Employee Impact Groups, learning, well-being programs, and more. Join us in transforming the pharmacy care delivery model, making patient care safer and smarter for all.