Senior Data Analytics 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

•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

Required Skills:

•At least 4 years of Hands-on experience on PySpark, Python, Spark, Scala, Able to perform data validation, delivery, quality and integrity.

•At least 4 years of Snowflake /Databricks Cloud Data warehouse Implementation experience, Should possess skill pertaining to handling various file formats (XML,JSON,Avro,Parquet)

•Good Experience in Extraction, Transformation and Loading (ETL) data from multiple data sources & various data formats (Structured, Semi-Structured & Unstructured)

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

•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:

As an EOE/AA employer, Labcorp strives for diversity and inclusion 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 of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), 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.

We encourage all to apply

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