October 12
Airflow
Amazon Redshift
Apache
AWS
Azure
Cloud
ETL
Flask
Google Cloud Platform
Kafka
Python
Spark
SQL
Tableau
Terraform
Go
•Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. •Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. •We are seeking a talented and experienced Senior Data Engineer. •As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers. •You will encounter numerous technical challenges and have the opportunity to contribute to exciting open-source projects, build internal solutions, and engage in R&D activities, providing an excellent environment for professional growth. •Let's work together to build a better future for everyone!
•5+ years of hands-on experience in data engineering, with a strong emphasis on Databricks and Apache Spark. •Expertise in cloud platforms (AWS preferred, GCP, or Azure) preferably with relevant certifications. •Proficiency with cloud data warehouse technologies (Snowflake/Redshift/Clickhouse). •Proven experience in handling batch data workflows using Airflow or similar tools. •Experience in handling real-time data using Kafka and streaming processing frameworks. •Strong command of Python and SQL for building scalable and efficient data pipelines. •Strong communication skills with the ability to collaborate effectively in English. •Exceptional problem-solving skills and the ability to thrive in fast-paced environments.
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