IN_Senior Associate_AWS Data Engineer_D&A_Advisory_Gurugram
- Compensation
- Not disclosed
- Location
- Gurugram, Haryana, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- • 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.
Nice to have
- • 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.
- • Innovative thinking and creativity in solution delivery
- Mandatory skill sets:
- AWS Data Engineer
- Preferred skill sets:
- AWS Data Engineer
- Years of experience required:
- 4—8 Years
- Education qualification:
- B.E/B.Tech/MBA/M.E/M.Tech
Full description
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage.
Job Position Title:
IN_Senior Associate_AWS Data Engineer_D&A_Advisory_Gurugram
Responsibilities:
Job Title: AWS Data Engineer
Location: Gurugram, India
Job Description:
PwC India is seeking a talented AWS Data Engineer to join our team in Gurgaon. The ideal candidate will have 2-8 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:
- AWS Service Implementation:
o Design, develop, and maintain data solutions using AWS services, with a particular focus on S3, Athena, Glue, EMR, and Redshift.
o Implement and optimize data lakes and data warehouses on AWS platforms.
- Data Pipeline Development:
o Create and maintain efficient ETL processes using PySpark and other relevant tools.
o Develop scalable and performant data pipelines to process large volumes of data.
o Implement data quality checks and monitoring systems to ensure data integrity.
- Database Management:
o Proficient with SQL and NoSQL databases, optimizing queries and database structures for performance.
o Design and implement database schemas that align with business requirements and data models.
- Performance Optimization:
o Continuously monitor and optimize the performance of data processing jobs and queries.
o Implement best practices for cost optimization in AWS environments.
o Troubleshoot and resolve performance bottlenecks in data pipelines and analytics processes.
- Collaboration and Documentation:
o Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.