Create data pipelines and perform ETL/ELT on cloud
Collaborate with team members to implement cloud solutions
Maintain and optimize data storage and processing
Support infrastructure as code and CI/CD workflows
Develop utility functions to enhance cloud capabilities.
Requirements
4-5 years of IT experience
Minimum 3 years of experience in creating data pipelines, ETL/ELT on cloud
Experience with AWS, Azure, GCP
Experience with cloud storage, cloud database, cloud data-warehousing, and Data lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3
Experience in writing cloud utility functions such as AWS lambda, AWS step functions, Cloud Run, Cloud functions, Azure functions
Experience in using cloud data integration services for structured, semi structured and unstructured data such as Azure Databricks, Azure Data Factory, Azure Synapse Analytics, AWS Glue, AWS EMR, Dataflow, Dataproc
Exposure to cloud Dev ops practices such as infrastructure as code, CI/CD components, and automated deployments on cloud
Expertise in programming using python.
Tech Stack
Amazon Redshift
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Python
Benefits
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