AWS Data Architect

5 days ago

Bengaluru, Karnataka, India The Metromax Group Full time

Job Title: AWS Data Architect

Job Summary:

We are seeking an experienced AWS Data Architect to join our team at The Metromax Group. As a key member of our data engineering team, you will be responsible for designing and implementing scalable, high-performance data pipelines and architectures using AWS services such as S3, Glue, and EMR.

Key Responsibilities:

  • Design and implement AWS-based Lakehouse architectures using services like S3, Glue, and EMR.
  • 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.

Requirements:

  • 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, and 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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