Chief Cloud Data Architect

5 days ago

Agra, Uttar Pradesh, India beBeeData Full time US$ 1,00,000 - US$ 1,50,000
Cloud Data Engineer

About our company and role:

  • We are seeking a Cloud Data Engineer to join our team, responsible for designing, developing, and maintaining scalable ETL pipelines using cloud-native tools.
  • The ideal candidate will have experience in architecting and implementing data lakes and data warehouses on cloud platforms, as well as developing and optimizing data ingestion, transformation, and loading processes.

We're looking for someone who can work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. You'll collaborate with cross-functional teams to design and implement data solutions that meet business needs, documenting technical solutions, processes, and workflows.

Key Responsibilities:

Data Engineering and Development:
  • Design, develop, and maintain scalable ETL pipelines using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow.
  • Architect and implement data lakes and data warehouses on cloud platforms like 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.
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.

Benefits:

  • Remote work and flexibility.
  • Training opportunities.
  • State-of-the-art tech.
  • A supportive team environment.

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