ETIC, AWS Data Engineer, Senior Associate
PricewaterhouseCoopers
Employer Active
Posted 11 hrs ago
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Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on AWS. You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
This role requires a strong understanding of cloud data architecture and hands-on experience with AWS data services for batch and real-time data engineering.
Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines across structured, semi-structured, and unstructured data sources.
- Implement data ingestion, transformation, and orchestration frameworks leveraging AWS Glue, Amazon Redshift, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (MWAA).
- Develop and optimize ETL/ELT processes using PySpark, SQL, and Delta Lake to ensure high performance and scalability.
- Implement and enforce data quality, lineage, and governance practices.
- Work closely with solution architects to design modern data architectures and ensure compliance with security and privacy standards.
- Participate in client workshops and technical discussions to translate business needs into technical designs.
Required Skills & Experience
- 3 6 years of experience in data engineering, preferably in a consulting or enterprise environment.
- Strong hands-on experience with:
- AWS Data Platform: AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, Amazon Kinesis, and AWS Step Functions.
- Proficiency in Python and SQL for large-scale data processing and transformation.
- Solid understanding of data modeling, medallion architecture, and lakehouse principles.
- Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, AWS CodePipeline).
- Knowledge of data governance, lineage, and observability tools.
- Experience with performance optimization, cost control, and best practices in cloud environments.
Desired Candidate Profile
Required Skills & Experience
- 3 6 years of experience in data engineering, preferably in a consulting or enterprise environment.
- Strong hands-on experience with:
- AWS Data Platform: AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, Amazon Kinesis, and AWS Step Functions.
- Proficiency in Python and SQL for large-scale data processing and transformation.
- Solid understanding of data modeling, medallion architecture, and lakehouse principles.
- Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, AWS CodePipeline).
- Knowledge of data governance, lineage, and observability tools.
- Experience with performance optimization, cost control, and best practices in cloud environments.
Company Industry
- Accounting & Auditing
Department / Functional Area
- IT Software
Keywords
- ETIC
- AWS Data Engineer
- Senior Associate
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PricewaterhouseCoopers
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