Cloud Data Architect

1 day ago

Bengaluru, Karnataka, India beBeeData Full time
Job Overview

This is a key position in our organization that oversees the development and implementation of large-scale data pipelines. The successful candidate will be responsible for architecting data solutions using cloud services such as AWS, Azure, and Google Cloud.

The role requires strong expertise in Python or C# for efficient data processing, as well as experience with relational and NoSQL databases. Familiarity with big data technologies such as Apache Spark, Hadoop, and Kafka is also necessary.

The ideal candidate should have 8-10 years of proven experience in data engineering and possess excellent problem-solving skills for troubleshooting data pipeline issues. Experience with version control and CI/CD pipelines is also required.

  • Design and implement scalable ETL/ELT data pipelines using Python or C#.
  • Architect data solutions for large-scale batch and real-time processing using cloud services (AWS, Azure, Google Cloud).
  • Craft and manage cloud-based data architectures with services like AWS Redshift, Google BigQuery, Azure Data Lake, and Snowflake.
  • Implement cloud data solutions using Azure services such as Azure Data Lake, Blob Storage, SQL Database, Synapse Analytics, and Data Factory.
  • Manage and optimize Azure SQL Database, Cosmos DB, and other databases for high availability and performance.
  • Implement data security and governance practices in compliance with regulations (GDPR, HIPAA) using Azure security features.
  • Collaborate with data scientists and analysts to deliver data solutions that meet business analytics needs.

We are seeking a highly skilled data engineer to join our team. If you have a passion for working with data and want to be part of a dynamic team, we encourage you to apply for this exciting opportunity.

Requirements
  • 8-10 years of experience in data engineering.
  • Strong expertise in Python or C# for efficient data processing.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
  • Familiarity with relational and NoSQL databases.
  • Familiarity with big data technologies (Apache Spark, Hadoop, Kafka).
Benefits
  • Competitive salary.
  • Ongoing training and professional development opportunities.
  • A collaborative and dynamic work environment.

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