The Data Engineer will be responsible for designing, developing, and maintaining robust data pipelines and data warehouse architectures. The ideal candidate will have expertise in tools like *AWS Redshift, Athena, Snowflake*, and other leading databases, with a strong focus on building scalable and efficient data solutions.

What you'll do

• Design and implement scalable and efficient data pipelines to ingest, process, and store large datasets from multiple sources.
• Develop and maintain data warehouse solutions using AWS Redshift, Athena, öSnowflake, and other modern data platforms.
• Optimize data models and queries to ensure high performance and cost-effectiveness.
• Collaborate with data analysts, scientists, and cross-functional teams to understand data requirements and translate them into technical solutions.
• Ensure data integrity, security, and privacy throughout the pipeline and storage processes.
• Monitor data workflows and troubleshoot issues to ensure reliability and accuracy.
• Implement best practices for data governance and ensure compliance with data policies.
• Stay updated with the latest trends and advancements in data warehousing technologies.

What you'll need to succeed

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• 5+ years of experience as a Data Engineer or similar role with a focus on data warehousing and pipeline development.
• Strong proficiency with AWS Redshift, Athena, Snowflake, and other top-tier databases.
• Experience with data pipeline tools and frameworks (e.g., Apache Airflow, Glue, or similar).
• Proficiency in SQL and scripting languages such as Python or Shell.
• Familiarity with cloud services (AWS preferred) and infrastructure management.
• Experience with data modeling, schema design, and ETL processes.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively across teams.

Nice to Have:

• Experience with BI tools like Tableau, Looker, or Power BI.Knowledge of data security and privacy best practices.Experience with DevOps tools and practices.