IN-Senior Associate-AWSETL DAAdvisoryGurgaon
IN-Senior Associate-AWSETL DAAdvisoryGurgaon
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Job Description
Line of Service
AdvisoryIndustry/Sector
FS XSectorSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
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 decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*WhyPWC
AtPwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary Senior Associate Data and Analytics Consulting
Responsibilities:
Role : Sr. Associate
Exp : 25 years
PwC India is seeking a talented AWS Data Engineer to join our team in Mumbai or Gurgaon. The ideal candidate will have 25 years of experience with a strong focus on AWS services data engineering and analytics. This role offers an exciting opportunity to work on cuttingedge 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 teams knowledge base.
Required Qualifications:
Bachelors or Masters degree in Computer Science Information Technology or a related field.
25 years of experience in data engineering with a focus on AWS technologies.
Strong handson 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 problemsolving 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
Mandatory skill sets:
AWS/ETL
Preferred skill sets:
AWS/ETL
Years of experience :
25 years
Education qualification:
BE/BTech/MBA/MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Master of Business Administration Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Extract Transform Load (ETL)Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Business Case Development Business Data Analytics Business Intelligence and Reporting Tools (BIRT) Business Intelligence Development Studio Communication Competitive Advantage Continuous Process Improvement Creativity Data Analysis and Interpretation Data Architecture Database Management System (DBMS) Data Collection Data Pipeline Data Quality Data Science Data Visualization Embracing Change Emotional Regulation Empathy Inclusion Industry Trend Analysis 12 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
