Cloud Data Systems Architect

2 weeks ago

Hubli, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Cloud Data Engineer

We are seeking a skilled professional with expertise in designing, implementing and maintaining robust data pipelines and building scalable data lakes.

The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence.

Key Responsibilities:

  • Designing and developing scalable ETL pipelines using cloud-native tools.
  • Architecting and implementing data lakes and data warehouses on cloud platforms.
  • Developing and optimizing data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse.
  • Implementing ETL processes using tools like Informatica, SAP Data Intelligence.
  • Developing and optimizing data processing jobs using Spark Scala.

Requirements:

  • A Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 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, GCP Dataflow, etc.
  • 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 experience with Spark and Scala for data processing.

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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