Data Architect Leader

5 days ago

Hyderabad Secunderabad Telangana, India beBeeData Full time
Senior Data Architect

Job Overview:

We are seeking a highly skilled and experienced Senior Data Architect to join our team.

The ideal candidate will have a strong background in data engineering, with expertise in designing and implementing large-scale data architectures.

  • Key Responsibilities:
  • Design and implement scalable and efficient data pipelines using AWS technologies (S3, Athena, Glue, Lambda, etc.).
  • Architect and optimize data storage solutions on Amazon S3, ensuring cost effectiveness and efficient retrieval of large datasets.
  • Develop automated data workflows using AWS Data Pipeline or similar orchestration tools for seamless data movement and processing.
  • Monitor and troubleshoot data pipeline performance, ensuring high availability, reliability, and security.
  • Stay up to date with emerging technologies and trends in cloud data engineering and AWS services.
Requirements:Skills and Qualifications:
  • 10+ years of experience in data engineering, ETL processes, and cloud-based data solutions.
  • AWS Expertise.
  • Hands-on experience with Amazon S3 for data storage, management, and retrieval.
  • Proficient in AWS Athena for serverless querying and data analysis.
  • Experience with AWS Glue for ETL jobs and data cataloging.
  • Familiarity with AWS Data Pipeline or similar orchestration tools.
  • Programming: Proficiency in SQL, Python, or other data engineering programming languages.
  • Data Engineering Tools: Familiarity with tools like Apache Spark, Apache Airflow, or similar data orchestration and processing frameworks.
  • Database Management: Experience with relational databases (MySQL, PostgreSQL) and NoSQL databases DynamoDB, Redshift.
  • Big Data Experience with large-scale data processing and optimization for big data workloads.
  • Cloud Technologies: Knowledge of cloud infrastructure, networking, and security best practices.
Desired Characteristics:
  • Strong problem-solving skills and the ability to work with complex datasets.
  • Communication: Excellent communication skills and ability to work collaboratively across teams.
  • Design, build, and maintain scalable and efficient data pipelines using AWS technologies.
  • Architect and optimize data storage solutions on Amazon S3, ensuring cost effectiveness and efficient retrieval of large datasets.
  • Develop automated data workflows using AWS Data Pipeline or similar orchestration tools for seamless data movement and processing.
  • Monitor and troubleshoot data pipeline performance, ensuring high availability, reliability, and security.
  • Stay up to date with emerging technologies and trends in cloud data engineering and AWS services.

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