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Senior Cloud Data Architect

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Data Engineering Lead Role

As a senior-level data engineer, you will be responsible for leading the development of serverless architectures using AWS services to support data ingestion and transformation. This role requires expertise in cloud-based technologies, particularly AWS services, as well as experience with data processing and integration tools.

Key Responsibilities:
  • Data Pipeline Design – Develop and implement efficient data pipelines using AWS Glue, Apache Spark, and other related services to ensure seamless data flow.
  • Migrate clients towards ELT (Extract, Load, Transform) from ETL (Extract, Transform, Load), aligning with industry best practices on data transformation.
  • Metadata-Driven Integration Designs – Create rapid onboarding systems for new data sources by leveraging metadata-driven approaches.
  • Introduce DBT (Data Build Tool) alongside AWS Glue to facilitate a true DataOps delivery approach.

This role requires strong technical expertise and passion for data engineering. If you have a background in software development and are eager to drive innovation, this could be the ideal opportunity for you.

Required Skills and Qualifications:
  • Expertise in AWS services, including AWS Glue, S3, Lambda, and API Gateway.
  • Experience with data processing and integration tools, such as Apache Spark and Flink.
  • Strong understanding of data warehousing concepts and data modeling principles.
  • Proficiency in SQL and NoSQL databases, including Amazon Redshift and DynamoDB.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
Benefits:

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.

Join Our Team:

If you are passionate about data engineering and want to make a meaningful impact, apply now to join our team