DA Lead Data Engineer

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.

Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

Labcorp is seeking a DA Lead Data Engineer to join our team at Bengaluru, India Office.

Work Schedule

Candidates are required to follow the work schedule from 2:00 PM to 11:00 PM IST.

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

• Working with event based / streaming technologies to ingest and process data

• Do analysis of new requirements and propose a solution

• Evaluating the performance and applicability of multiple tools against customer requirements

Minimum Qualifications

• Bachelor’s degree in computer science, Engineering, or related field.

• 5 years or more of hands-on experience on PySpark, Python, Spark, Scala, Able to perform data validation, delivery, quality and integrity.

• 5 years or more of Snowflake /Databricks Cloud Data Warehouse Implementation experience, should possess skill pertaining to handling various file formats (XML,JSON,Avro,Parquet)

• 2 years of more experience in Extraction, Transformation and Loading (ETL) data from multiple data sources & various data formats (Structured, Semi-Structured & Unstructured).

• 2 or more years of hands-on experience with Big Data model techniques using Python / Spark

• 2 or more years of experience in CI/CD domain using Jenkins, Terraform, Docker, AWS, and Kubernetes.

Additional Job Standards

• Should be able to work with modern schedulers (Airflow, Matillion, etc.) and distributed data systems such as Hadoop, Spark, Kafka etc.

• 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, Lambda, SQS, SNS

• Strong Programming experience using PL/SQL packages, Stored procedures, views, Materialized views, triggers, Indexes etc.

• Strong communication and collaboration skills.

• Strong understanding on Data Warehousing concepts using Fact, Dimension tables and various methods of loading data.

• Experience in Pharma industry is a plus.

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. 

We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.