DA Lead Data Engineer

Labcorp; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Labcorp is seeking a DA Lead Data Engineer to join our Bengaluru, India office. You will design and implement scalable data pipelines, validate data quality, and work with Snowflake/Databricks and BI tools to deliver insights for healthcare customers.

The role requires 5+ years in Spark/PySpark, ETL, CI/CD, and cloud tech (AWS). Collaboration with stakeholders and strong communication are essential for success in a global diagnostics leader.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field.
• 5+ years hands-on experience with PySpark, Python, Spark, Scala.
• 5+ years Snowflake / Databricks Cloud Data Warehouse implementation experience.
• 2+ years experience in ETL from multiple data sources & various data formats.
• 2+ years hands-on experience with Big Data model techniques using Python / Spark.
• 2+ years experience in CI/CD domain using Jenkins, Terraform, Docker, AWS, and Kubernetes.
• Should be able to work with modern schedulers (Airflow, Matillion) and distributed data systems such as Hadoop, Spark, Kafka.
• Experience in BI reporting (Tableau, Power BI).
• Strong AWS exposure (EC2, S3, Lambda, SQS, SNS).
• Strong PL/SQL, stored procedures, views, triggers, indexes.
• Strong communication and collaboration skills.
• Knowledge of Data Warehousing concepts with Fact & Dimension tables.
• Pharma industry experience is a plus.

Responsibilities

• Designing and implementing highly performant data ingestion pipelines from multiple sources.
• Delivering and presenting proofs of concept to project stakeholders.
• Developing scalable and reusable frameworks for ingesting data sets.
• Integrating end-to-end data pipeline from source systems to target data repositories ensuring data quality.
• 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.

Skills

PySpark

Python

Spark

Scala

ETL

CI/CD

SQL

Airflow

Matillion

Tableau

Power BI

AWS

Docker

Kubernetes

Databricks

Snowflake

Education

Bachelor’s degree in Computer Science, Engineering or related field

Tools

Jenkins

Terraform

Docker

AWS

Kubernetes

Airflow

Matillion

Tableau

Power BI

Snowflake

Databricks

Job description

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. 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.

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