Data Engineer

Minimum Qualifications

• Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
• 2 years of experience in Data, Platform Engineering, Data Warehousing/ETL, Cloud Platform or Software Engineering
• 1 year of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)

Preferred Qualifications

• Master's Degree in Computer Science, CIS, or a related field
• 2 years of IT experience in developing and implementing business systems within an organization
• 4 years of experience with technical documentation in a software development environment
• 2 years of experience with Big Data technologies - both On-Premises and Cloud
• 2 years of experience with Hadoop and Spark Experience with application and integration middleware
• Experience with database technologies

Data Engineering

• 2 years of experience with Hadoop or any Cloud Big Data components (specific to the Data Engineering role), preferably Google Cloud Platform
• Expertise in Java/Scala/Python, SQL, Scripting, Hadoop (Sqoop, Hive, HDFS), Spark (Spark Core & Streaming), Kafka or equivalent Cloud Big Data components
• Proficiency in programming languages: Scala, Python, Java, and Big Data technologies, both On-Premises and Cloud
• Knowledge of data modeling and database design
• Hands-on experience with GCP services: BigQuery, Dataflow, Dataproc, Composer/Airflow, Google Storage, Pub-Sub
• Experience with CI/CD processes: Jenkins, Cloud build tools, Docker, Kubernetes, Artifact Registry
• Ability to design scalable data architectures on GCP using services like Dataproc, BigQuery, and Composer
• Experience with ETL (Extract, Transform, Load) processes
• Responsible for optimizing data pipelines and queries for performance, troubleshooting issues, and proactive monitoring
• Knowledge of quality checks, data governance, and security policies

Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.