DA Senior Associate Engineer

Job Responsibilities
Designing and implementing highly performant data ingestion pipelines from multiple sources
Delivering and presenting proofs of concept to of key technology components to project stakeholders.
Developing scalable and re-usable frameworks for ingesting of data sets
Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
Do analysis of new requirements
Evaluating the performance and applicability of multiple tools against customer requirements

Required Skills
At least 2-3 years of Hands-on experience on PySpark, Python, Spark, Able to perform data validation, delivery, quality and integrity.
Good Experience in Extraction, Transformation and Loading (ETL) data from multiple data sources & various data formats (Structured, Semi-Structured & Unstructured)
Should have experience in business intelligence, reporting, and/or delivery of modern visualization solutions (Tableau, Power BI)
Good working exposure on cloud technologies of AWS - EC2, S3
Basic Programming experience using PL/SQL packages, Stored procedures, views, Materialized views, triggers, Indexes etc.
Hands-on Experience with Big Data model techniques using Python / Spark
Experience in CI/CD domain using Jenkins, Terraform, Docker, AWS, and Kubernetes.
Experience in Pharma industry is a plus
Strong communication and collaboration skills.
Labcorp Is Proud To Be An Equal Opportunity Employer
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
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