AWS Data Architect

1 day ago

Bengaluru, Karnataka, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 25,00,000
Data Engineering Leader

We are seeking an exceptional Data Engineering leader to drive our data engineering strategy and vision.

The ideal candidate will be responsible for architecting scalable enterprise-level data solutions, driving the implementation of data projects on AWS, and establishing a strong data engineering services practice.

  • Develop and execute a comprehensive data engineering strategy that aligns with business objectives.
  • Leverage expertise in data architecture, engineering, and management to drive innovation and excellence.
  • Mentor and guide engineers to ensure high standards of code quality and best practices.
  • Collaborate closely with cross-functional teams to develop proposals and strategies that meet performance objectives.

Requirements

This role requires a deep understanding of AWS services and data engineering best practices. The ideal candidate will possess:

  • Bachelor's or Master's degree in Engineering or Technology (B.E. / B.Tech / M.
  • 15+ years of technical hands-on experience in Data space.
  • At least 4 end-to-end implementations of large-scale data projects.
  • Experience working on projects across multiple geographic regions.
  • Extensive experience with a variety of projects, including on-premises to AWS migration, modernization, greenfield implementations, and cloud-to-cloud migrations.
  • Proficiency with AWS data services such as AWS Glue, Redshift, S3, Athena, EMR, Lambda, and RDS.
  • Strong understanding of AWS architecture and best practices for data engineering.
  • Proficiency in managing AWS IAM roles, policies, and permissions.
  • Proficient in SQL and Python for data processing and transformation.
  • Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
  • Experience with data integration from various sources including batch and real-time data streams.
  • Familiarity with data serialization formats such as Avro, Parquet, and ORC.
  • Expertise in optimizing data pipelines and query performance.
  • Experience with monitoring and troubleshooting data pipelines.
  • Proficiency in performance tuning and optimization of distributed computing environments.
  • Experience with data governance frameworks and practices.
  • Understanding of data lifecycle management and data retention policies.
  • Ability to implement and manage data quality frameworks and processes.
  • Hands-on experience with big data processing frameworks like Apache Spark, Hadoop, and Kafka.
  • Experience with data visualization tools such as PowerBI or Tableau.

Benefits

You will have the opportunity to work with a diverse group of techies who are constantly raising the bar on translating mounds of data into tangible business value for clients. Flexible working options are available to foster productivity and work/life balance.

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