Bachelors 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
Masters 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 setting
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

Role: Data Engineer

Industry Type: Retail

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Any Specialization

PG: Any Postgraduate

📌 Data Engineer Bengaluru (India)
🏢 Lowes Services India Private
📍 India