Remote Data Engineer (Senior or Mid)

Description:

• Design, develop, and maintain data pipelines and ETL processes.
• Perform data modeling and data cleansing tasks.
• Design and implement ETL/ELT solutions for transferring data between various sources and platforms.
• Automate data processing workflows using tools like Airflow or other workflow management tools.
• Optimize database performance by designing and implementing data structures and using indexes appropriately.
• Implement data quality and data governance processes.
• Work on a modern platform connecting professionals in different fields with service seekers.
• Deal with big data, data migration, and ELT creation.
• Utilize technologies such as MS SQL, Azure Data Factory, Azure Data Lake Storage, Azure Databricks, dbt, S3, Airflow, and Python.

Requirements:

• Must have 3+ years of experience as a Data Engineer.
• Should have experience developing and administering ETL processes in a Cloud environment (Azure, AWS, or GCP).
• Need experience in developing Data Lake/Data Warehouse solutions.
• Strong programming skills in Python and SQL are required.
• Experience with ETL tools and data integration is necessary.
• Must possess strong problem-solving and analytical skills.

Benefits:

• Engage in diverse and technically challenging projects.
• Enjoy a remote workplace model.
• Benefit from a flexible schedule and Agile/SCRUM environment.
• Receive technical equipment of your choice.