Senior Data Engineer
October 12
Airflow
Amazon Redshift
Apache
AWS
Azure
Cloud
ETL
Flask
Google Cloud Platform
Kafka
Python
Spark
SQL
Tableau
Terraform
Go
Description
• 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!
Requirements
• 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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