Data Engineer - Remote

Overview

The Data Engineer will manage end-to-end data pipelines, transforming and loading data into the company's data lake while transitioning from a Hadoop environment to a Spark-based setup on AWS.

In Short

• Manage data pipelines from operational systems and various endpoints.
• Transform and load data into the company data lake.
• Complete migration from Hadoop to a Spark-based environment on AWS.
• 4+ years of experience as a Data Engineer.
• Proficient in SQL and Python.
• Experience with cloud-hosted data warehouses like Hive and Snowflake.
• Hands-on experience with ETL/ELT processes.
• Familiarity with data visualization tools such as Tableau.
• Strong analytical skills and attention to detail.
• Comfortable working independently and leading projects.

Requirements

• 4+ years of hands-on experience as a Data Engineer.
• BA/BSc in a related field like Computer Science or Engineering.
• High proficiency in SQL and Python.
• Experience with cloud-hosted data warehouses (Hive, Snowflake).
• Hands-on experience with ETL/ELT processes (Spark and SQL).
• Experience with Hadoop framework and parallel computing.
• Proven experience with data warehousing and modeling paradigms.

Benefits

• Opportunity to work with a growing team of professionals.
• Involvement in decision-making affecting product and business.
• Long-term product team environment.
• Modern technology stack.