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You will be updated with latest job alerts via emailAbout US : Since 2008 EITACIES has been a beacon of innovation crafting tailored tech solutions. From humble beginnings weve grown globally nurturing client relationships and adapting to digital shifts. Today were a tech powerhouse delivering customized excellence from startups to Fortune 500 State & Federal clients.
Job Description:
Responsibilities:
Develop and maintain scalable data pipelines using Python and cloudbased technologies implementing ETL processes. Utilize cloud platforms like Google Cloud AWS Azure for deploying and optimizing data engineering solutions. Collaborate on data modeling and architecture to ensure scalability and performance on cloud platforms. Continuously optimize data processes for improved performance and troubleshoot issues in a cloud environment. Implement data quality checks and validation processes to ensure accuracy and completeness in the data warehouse. Work closely with crossfunctional teams to understand data requirements and integrate solutions into larger systems. Create and maintain documentation for data engineering processes cloud architecture and pipelines.
Technical Skills:
Proficiency in Python experience with data engineering frameworks and workflow management tools. Strong knowledge of cloud platforms (AWS Azure Google Cloud) and their native services. Expertise in ETL processes SQL data modeling version control and collaboration tools. Familiarity with containerization technologies (e.g. Docker) and orchestration tools (e.g. Kubernetes). Experience in monitoring troubleshooting and implementing data quality assurance processes. Knowledge of agile development methodologies.
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Eitacies Inc
Full Time