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Urgent! Aws Data Engineer-Gurugram in Gurugram, India | PwC India | Expertini

Aws Data Engineer Gurugram



Job description

Job Title: AWS Data Engineer

Location: Gurugram, India

No of openings:

Experience Required:

Company: PwC India

Job Description:

PwC India is seeking a talented AWS Data Engineer to join our team in Gurgaon.

The ideal candidate will have 2-7 years of experience with a strong focus on AWS services, data engineering, and analytics.

This role offers an exciting opportunity to work on cutting-edge projects for global clients while leveraging your expertise in cloud technologies and data management.

Key Responsibilities:

1.

AWS Service Implementation:

  • Design, develop, and maintain data solutions using AWS services, with a particular focus on S3, Athena, Glue, EMR, and Redshift.

  • Implement and optimize data lakes and data warehouses on AWS platforms.

2.

Data Pipeline Development:

  • Create and maintain efficient ETL processes using PySpark and other relevant tools.

  • Develop scalable and performant data pipelines to process large volumes of data.

  • Implement data quality checks and monitoring systems to ensure data integrity.

3.

Database Management:

  • Proficient with SQL and NoSQL databases, optimizing queries and database structures for performance.

  • Design and implement database schemas that align with business requirements and data models.

4.

Performance Optimization:

  • Continuously monitor and optimize the performance of data processing jobs and queries.

  • Implement best practices for cost optimization in AWS environments.

  • Troubleshoot and resolve performance bottlenecks in data pipelines and analytics processes.

5.

Collaboration and Documentation:

  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

  • Develop and maintain comprehensive documentation for data architectures, processes, and best practices.

  • Participate in code reviews and contribute to the team's knowledge base.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

  • 2-7 years of experience in data engineering, with a focus on AWS technologies.

  • Strong hands-on experience with AWS services, particularly S3, Athena, Glue, EMR, and Redshift.

  • Proficiency in Python and PySpark for data processing and analysis.

  • Extremely good with SQL/PL SQL
  • Demonstrated ability to optimize data pipelines and queries for performance.

  • Strong problem-solving skills and attention to detail.

Preferred Skills:

  • AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect).

  • Familiarity with data visualization tools (e.g., Tableau, Power BI).

  • Experience with data modeling and data warehouse concepts.

  • Innovation thinking and creativity in solution delivery


Required Skill Profession

Other General



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