Data Architect
1 month ago
Job Description :
- Design and implement AWS-based Lakehouse architectures using services like S3, Glue, and EMR, Spark Scala to enable modern, scalable data lakes and data warehouses.
- Architect scalable, high-performance data pipelines for ingestion, transformation, and processing of structured and unstructured data.
- Develop and manage ETL processes using AWS Glue/EMR for data integration, transformation, and loading.
- Optimize and manage AWS EMR clusters for big data processing, including Apache Hadoop, Spark, and other distributed computing tools.
- Leverage S3 for data storage with a focus on performance, security, and data lifecycle management.
- Collaborate with data engineers and scientists to support analytics, machine learning models, and reporting tools using the AWS data ecosystem.
- Integrate data sources across various platforms (on-premises and cloud) and ensure smooth data movement and processing.
- Perform performance tuning and optimization of data pipelines and distributed processing systems for large datasets.
- Provide ongoing support and monitoring for data architectures, including troubleshooting, error resolution, and system enhancements.
Required Qualifications :
- Bachelor's or master's degree in computer science, Information Technology, Data Science, or related field.
- 5+ years of experience in data architecture with a strong focus on AWS services (EMR, Glue, S3, Lambda, etc.).
- Hands-on experience in designing and deploying data lakes and Lakehouse architectures.
- Proficiency in big data processing tools such as Apache Spark, Hadoop, Hive, and Presto.
- Expertise in building and managing ETL pipelines using AWS Glue/EMR, AWS Step Functions,
- Experience with SQL and Scala for data processing and scripting.
- Knowledge of data governance, data quality, and security practices on AWS.
- Strong experience with data modeling and best practices in schema design (e.g., partitioning, compaction, etc.).
- Familiarity with AWS Redshift, Athena, and other data query services.
- Strong problem-solving skills, with the ability to troubleshoot complex data environments.
- Excellent communication and collaboration skills to work across teams and stakeholders.
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