Chief Data Processing Specialist

2 days ago


Alleppey, Kerala, India beBeeData Full time ₹ 25,00,000 - ₹ 35,00,000

About Cloud Data Engineers

Cloud data engineers are experts in designing and developing scalable ETL pipelines using cloud-native tools.

Key Responsibilities:
  • Design and Development:
    • Design, develop, and maintain large-scale data processing jobs using Spark Scala.
    • Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, 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.
  • Data Integration and Management:
    • Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake.
    • Ensure data quality and integrity through rigorous testing and validation.
  • Performance Optimization:
    • Monitor and optimize the performance of data pipelines and ETL processes.
    • Implement best practices for data management, including data governance, security, and compliance.
  • Collaboration and Communication:
    • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Documentation and Maintenance:
    • Document technical solutions, processes, and workflows.
    • Maintain and troubleshoot existing ETL pipelines and data integrations.

Required Skills and Qualifications

Education:

  • Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus.

Experience:

  • 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.

Skills:

  • Strong programming skills in Python, Java, or Scala.
  • Proficient in SQL and query optimization techniques.
  • Excellent problem-solving and analytical skills.

Benefits

We offer flexible working arrangements, professional training, state-of-the-art technology, and a collaborative team environment that supports your growth and development.



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