Cloud Data Architect

7 days ago

Kolkata Delhi Mumbai, India beBeeData Full time ₹ 12,00,000 - ₹ 30,00,000

Cloud Data Engineer - Big Data Solutions

We are seeking a highly skilled Cloud Data Engineer to design, develop, and maintain scalable data pipelines using Apache Spark and Databricks. The ideal candidate will have extensive experience working with cloud platforms such as AWS, Azure, and GCP, and a deep understanding of data engineering, ETL processes, and cloud-native tools.

Key Responsibilities:
  • Data Engineering
    • Design and develop scalable ETL pipelines using Databricks, Apache Spark, and other cloud-native tools.
    • Build data lakes and data warehouses on cloud platforms (AWS, Azure, GCP).
    • Implement efficient data ingestion, transformation, and processing workflows with Spark and Databricks.
    • Optimize the performance of ETL processes for faster data processing and lower costs.
  • Data Integration and Management
    • Integrate structured and unstructured data sources into the cloud data infrastructure.
    • Ensure data quality, validation, and integrity through rigorous testing.
    • Perform data extraction and integration from SAP or ERP systems, ensuring seamless data flow.
  • Performance Optimization
    • Monitor, troubleshoot, and enhance the performance of Spark/Databricks pipelines.
    • Implement best practices for data governance, security, and compliance across data workflows.
    Required Skills and Qualifications:
    • 7+ years of experience in cloud data engineering or similar roles.
    • Expertise in Apache Spark and Databricks for data processing.
    • Proven experience with cloud platforms like AWS, Azure, and GCP.
    • Experience with cloud-native ETL tools such as AWS Glue, Azure Data Factory, Kafka, GCP Dataflow, etc.
    • Hands-on experience with data platforms like Redshift, Snowflake, Azure Synapse, and BigQuery.
    • Experience in extracting data from SAP or ERP systems is preferred.
    • Strong programming skills in Python, Scala, or Java.
    • Proficient in SQL and query optimization techniques.
    Preferred Qualifications:
    • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate).
    • Experience with CI/CD pipelines and DevOps practices for data engineering.
    • Exposure to Apache Hadoop, Kafka, or other data frameworks is a plus.

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