Data Engineer

3 weeks ago

Gurugram, India KPMG India Full time

Data Analyst / Data Engineer


Location: Gurgaon, India


Experience Required: 4-7 years


Key Skills: AWS, PySpark


Job Description:


We are looking for a talented Data Analyst/Data Engineer to join our team in Gurgaon. The ideal candidate will possess strong technical skills in AWS and PySpark, with experience in managing and analyzing large-scale data environments. This role offers the opportunity to work on cutting-edge data projects in a collaborative and innovative environment.


Key Responsibilities:


- Design, develop, and maintain data pipelines using PySpark for processing and analyzing large datasets.

- Utilize AWS services (e.g., S3, Lambda, Redshift, EMR) to build scalable and secure data infrastructure.

- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver data solutions.

- Implement and manage ETL processes to ensure data integrity, quality, and availability.

- Optimize data workflows for performance, reliability, and scalability in cloud environments.

- Develop and maintain documentation for data architecture, processes, and best practices.

- Monitor, troubleshoot, and resolve issues related to data pipelines and AWS infrastructure.

- Stay updated with the latest trends and best practices in data engineering, AWS, and big data technologies.


Qualifications:


- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

- Experience:


- Strong experience with PySpark for data processing and analytics.

- Proficiency in AWS services and cloud architecture design.

- Experience with data warehousing, big data technologies, and data lakes.

- Strong analytical, problem-solving, and debugging skills.

- Familiarity with data visualization tools and techniques is a plus.

- Excellent communication and interpersonal skills.

- Ability to work independently and as part of a team in a fast-paced environment.

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