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AI Summary
The role involves creating data pipelines and implementing ETL/ELT processes on cloud platforms. It also requires developing cloud utility functions and managing data integration for various data types.
Your Role
- Has 4-5 years of IT experience with minimum 3 years of experience in creating data pipelines, ETL/ELT on cloud.
- Has experience with any of these cloud providers - 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.
Your Profile
- 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.
- Exposure cloud Dev ops practices such as infrastructure as code, CI/CD components, and automated deployments on cloud.
What you will love about working here
· We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
· At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
· Equip yourself with valuable certifications in the latest technologies such as Generative AI.
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