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2718 PwC Jobs
Manager AWS & Cloud Data Architecture Data and Analytics
7-10 years
Bangalore / Bengaluru
1 vacancy
Manager AWS & Cloud Data Architecture Data and Analytics
PwC
posted 3d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Data Architecture & Pipeline Design Design, develop, and maintain endtoend data pipelines and ETL workflows on AWS, ensuring high performance, reliability, and scalability.
- Cloud Data Infrastructure Leverage AWS services such as Amazon EMR, Glue, Redshift, and Kinesis to build and manage robust cloudbased data architectures.
- RealTime Data Processing Implement realtime data streaming pipelines using Kafka, Flink, and Spark Streaming to ingest and process large volumes of data.
- Data Lake Development Design and manage scalable data lakes using AWS tools and frameworks such as Apache Hudi to ensure efficient storage, retrieval, and management of structured and unstructured data.
- Data Warehousing Optimize and manage Snowflake for data warehousing, ensuring seamless integration with other data systems and highperformance query execution.
- Collaboration Work closely with crossfunctional teams, including Data Scientists, Analysts, and DevOps, to ensure alignment of data pipelines with business objectives and requirements.
- Automation & Optimization Automate data processing workflows and improve pipeline performance through tuning and optimization of AWSbased services.
- Data Quality & Governance Establish and maintain data quality and governance practices, ensuring compliance with security standards and best practices.
- Troubleshooting & Support Provide ongoing support for data pipelines, troubleshooting performance issues and resolving data integrity concerns in a timely manner.
- Extensive experience (7+ years) in designing and developing scalable data architectures and pipelines, with a strong focus on AWS cloud services.
- Expertise in AWS services such as Amazon EMR, Glue, Redshift, Kinesis, and S3.
- Proficiency with distributed data processing frameworks, including Apache Spark, Apache Flink, and Kafka.
- Indepth knowledge of data lake technologies, specifically Apache Hudi, for largescale data storage and processing.
- Experience with modern data warehousing solutions, particularly Snowflake, including data loading, querying, and optimization.
- Strong understanding of data modeling, schema design, and data management best practices.
- Experience with automation tools and CI/CD pipelines for data engineering workflows.
- Excellent problemsolving and troubleshooting skills, with a proven ability to optimize and scale data processing workflows.
- Solid understanding of data governance, security, and privacy practices in the cloud.
- Familiarity with additional AWS services such as SQS, Lambda, and Athena.
- Experience with machine learning platforms and integrating data pipelines for model training and deployment.
- Knowledge of containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation).
- Relevant certifications in AWS (eg, AWS Certified Big Data Specialty, AWS Certified Solutions Architect).
Employment Type: Full Time, Permanent
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Karnataka 560071
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