Cloud Data Architect

1 week ago


Noida, Uttar Pradesh, India Number 11 Full time

Job Description:

About Number 11

We are a dynamic organization seeking a skilled Senior Data Engineer to join our data team. This role requires a strong background in cloud technologies and a minimum of 6 years in data engineering.

Key Responsibilities:

  • Design, develop, and maintain robust cloud-based data pipelines using platforms such as AWS, Azure, or GCP.
  • Build and manage ETL workflows to integrate data from multiple sources into cloud data lakes or warehouses.
  • Leverage tools like AWS Glue, Azure Data Factory, and Google Dataflow to automate and optimize data processing.
  • Work with modern data warehouses like Amazon Redshift, BigQuery, or Snowflake, and big data frameworks such as Apache Spark and Kafka.
  • Ensure data quality, security, and compliance, adhering to standards like GDPR and HIPAA.
  • Collaborate with cross-functional teams (data scientists, analysts, business stakeholders) to deliver high-impact data solutions.
  • Implement monitoring, logging, and alerting for data pipelines to ensure performance and reliability.
  • Maintain clear documentation and follow best practices for scalable data engineering.

Required Qualifications:

  • 6+ years of experience in data engineering.
  • 3+ years of hands-on experience with cloud platforms: AWS, Azure, or GCP.
  • Proficiency in ETL pipeline development, cloud storage, and data integration.
  • Strong hands-on experience with tools like AWS Glue, Azure Data Factory, or Google Dataflow.
  • Experience with data warehouses: Redshift, BigQuery, Snowflake.
  • Programming knowledge in Python, SQL, Java, or Scala.
  • Knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.
  • Experience in cloud security and data governance practices.
  • Familiarity with Agile development methodologies.


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