Ralph Lauren Corporation OFF Campus Drive 2023 Invites Students From Various Disciplines to apply for the Position of DATA ENGINEER in Bangalore, India. Below you will find more details about what you need to know if you are Interested and Eligible
Ralph Lauren Corporation Recruitment Details :-
|Company Name:||Ralph Lauren Corporation|
|Post Name:||DATA ENGINEER|
|Salary:||INR 10-12 LPA (Expected)|
|Job Location:||Bangalore, India|
Job Description & Responsibilities:-
- Work with the Operations team to analyze existing data pipelines to identify performance bottlenecks, scalability limitations, and areas for improvement.
- Collaborate with cross-functional teams to understand data requirements, business objectives, and user needs.
- Develop and implement strategies to optimize data ingestion, transformation, and storage processes.
- Conduct thorough testing and validation of pipeline modifications to ensure data accuracy, integrity, and reliability.
- Design and implement data quality checks and validation procedures to maintain data integrity throughout the pipeline.
- Collaborate with infrastructure teams to optimize resource allocation and improve overall system performance.
- Document pipeline modifications, configurations, and troubleshooting procedures for reference and future use.
- Provide technical guidance and mentorship to junior data engineers on best practices for pipeline optimization.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience working as a Data Engineer, specifically in optimizing data pipelines.
Preferred Skill Set:-
- Strong programming skills in languages such as Python, and SQL.
- Proficiency in working with big data technologies like Hadoop, Spark, or similar distributed computing frameworks.
- Solid understanding of data modeling, data warehousing, and ETL principles.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with data visualization tools and techniques for monitoring pipeline performance.
- Strong analytical and problem-solving skills with the ability to troubleshoot complex data pipeline issues.
- Knowledge of database systems and SQL for data retrieval and manipulation.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Ability to work independently, prioritize tasks, and manage multiple projects simultaneously.