DA Lead Data Engineer
Labcorp (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–32 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement performant data ingestion pipelines from multiple sources ensuring data quality and consistency.
- Develop scalable and reusable frameworks for data ingestion and integrate end-to-end data pipelines to target repositories.
- Evaluate and demonstrate key technology components to stakeholders; work with event-based/streaming technologies and CI/CD tools for data processing.
Minimum Requirements
- Bachelor’s degree in computer science, engineering, or related field mandatory.
- At least 5 years hands-on experience with PySpark, Python, Spark, Scala, and data validation/delivery.
- Minimum 5 years’ experience with Snowflake or Databricks Cloud Data Warehouse and handling multiple data file formats (XML, JSON, Avro, Parquet).
- Work Experience Required: 5+ years relevant data engineering experience; Must be able to work 2:00 PM to 11:00 PM IST.
Ideal Candidate Profile
- Experienced in Big Data models and ETL using Python/Spark with knowledge of structured, semi-structured, and unstructured data.
- Proficient with modern schedulers (Airflow, Matillion), distributed systems (Hadoop, Spark, Kafka), and CI/CD tools (Jenkins, Terraform, Docker, AWS, Kubernetes).
- Familiarity with cloud technologies on AWS (EC2, S3, Lambda), strong SQL programming skills, and understanding of data warehousing concepts.