Cloud Data Engineering Specialist

6 hours ago

Nellore, Andhra Pradesh, India beBeeData Full time ₹ 80,00,000 - ₹ 1,50,00,000
About Our Team

At our organization, we specialize in providing managed services for enterprise customers. We have a strong focus on delivering superior and highly automated solutions using cloud-based technologies like SAP on Cloud.

Our team is composed of experts who possess extensive experience in designing, developing, and maintaining robust data pipelines and scalable data lakes. We are seeking an experienced professional to join our team as a Cloud Data Engineer.

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  • Key Responsibilities:

    • Design and Development:
    • Architect and implement scalable ETL pipelines using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.
    • 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.
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    Collaboration and Communication:

    • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
    • Collaborate with cross-functional teams to design and implement data solutions that meet business needs.

    Documentation and Maintenance:

    • Document technical solutions, processes, and workflows.
    • Maintain and troubleshoot existing ETL pipelines and data integrations.

    What You'll Need:

    • 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.
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    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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    Our organization values diversity and inclusion and is committed to being an equal opportunity employer.

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