Senior Cloud Data Architect

2 days ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 20,00,000
Cloud Data Engineer Position

This is an exciting opportunity to join our organization as a Cloud Data Engineer. We are seeking a highly skilled and experienced professional to lead the design, development, and implementation of scalable data pipelines and architectures on cloud platforms.

Key Responsibilities:
  • Design, develop, and maintain ETL pipelines using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.
  • Architect and implement data lakes and data warehouses on cloud platforms including AWS, Azure, and GCP.
  • Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.
  • Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others.
  • Develop and optimize data processing jobs using Spark Scala.
Required Skills and Qualifications:
  • 7+ years of experience as a Data Engineer or in a similar role.
  • Proven experience with cloud platforms: AWS, Azure, and GCP.
  • Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.
  • Experience with other ETL tools like Informatica, SAP Data Intelligence, etc.
  • Experience in building and managing data lakes and data warehouses.
  • Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
  • Strong programming skills in Python, Java, or Scala.
  • Proficient in SQL and query optimization techniques.
  • Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.
  • Knowledge of data governance, security, and compliance best practices.
Preferred Qualifications:
  • Experience with other data tools and technologies such as Apache Spark, or Hadoop.
  • Certifications in cloud platforms (AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
  • Experience with CI/CD pipelines and DevOps practices for data engineering.

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