Principal Cloud Data Architect

2 days ago


amravati, India beBeeDataEngineer Full time

Cloud Data Engineer OpportunityAvoid providing the length of this text; your focus is on a top-tier Cloud Data Engineer to design and develop scalable Extract, Transform, Load (ETL) pipelines using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.The ideal candidate will also be responsible for architecting and implementing data lakes and data warehouses on cloud platforms like AWS, Azure, and GCP.Additionally, they will develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.As an experienced professional in ETL process implementation, they will utilize tools like Informatica and SAP Data Intelligence.Successful collaboration and communication are key to working closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. This includes collaborating with cross-functional teams to design and implement data solutions that meet business needs. Technical documentation of solutions, processes, and workflows is also essential. Troubleshooting existing ETL pipelines and data integrations will require attention to detail and technical expertise.Key Responsibilities:Design and Development: Create scalable ETL pipelines using cloud-native tools.Data Architecture: Implement data lakes and data warehouses on cloud platforms.Data Ingestion and Processing: Develop and optimize data ingestion, transformation, and loading processes.ETL Process Implementation: Utilize various tools to implement ETL processes.Benefits:Foster a collaborative environment with data professionals.Develop technical skills in cloud data engineering.Cultivate problem-solving abilities through troubleshooting ETL pipelines.



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