Cloud Data Architect

2 weeks ago

Bellary, Karnataka, India beBeeData Full time US$ 1,50,000 - US$ 2,50,000

About our company

We are a software-enabled services provider focused on delivering superior, highly automated managed IT services to enterprise customers worldwide.

Job Role:

A cloud data engineer is required to design and develop scalable ETL pipelines using cloud-native tools. They will also be responsible for architecting and implementing data lakes and data warehouses on cloud platforms, as well as developing and optimizing data ingestion, transformation, and loading processes.

Key Responsibilities:
  • Data Ingestion and Transformation
    • Design, develop, and maintain scalable ETL pipelines using cloud-native tools like AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.
    • 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.
    • Develop and optimize data processing jobs using Spark Scala.
  • 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.
    • Perform data extraction from SAP or ERP systems when necessary.
  • 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.
    • 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.

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