Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
About the role
- Data Engineer at NinjaOne responsible for building, maintaining, and scaling data systems. Collaborating with teams to optimize data-driven business decisions while ensuring data security and reliability.
Responsibilities
- Design and implement scalable data pipelines that move and transform large volumes of data from multiple sources to central data warehouses.
- Manage and optimize the performance of relational databases, ensuring data availability, reliability, and consistency.
- Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
- Ensure the integrity and security of data across systems, monitor performance, and troubleshoot any issues that arise within the data pipeline.
- Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
- Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or equivalent work experience preferred.
- 3 + years of experience in software development, with a strong focus on data engineering and data science.
- Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.
- Proficiency in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow, Kafka or dbt for orchestrating data workflows.
- Experience with both relational databases including MySQL, PostgreSQL and NoSQL databases like MongoDB, Cassandra.
- Experience with data warehousing concepts and tools such as Redshift, BigQuery, Snowflake.
Benefits
- medical, dental, and vision insurance
- 401(k) plan
- unlimited PTO
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