Hiring: Analytics Engineer II / Data Engineer

The Analytics Engineer II will develop and maintain scalable data models, ELT pipelines, and trusted datasets that support enterprise analytics, reporting, and self-service BI.

This role will collaborate closely with business stakeholders, analysts, data scientists, and data engineers to deliver high-quality data products while ensuring data quality, performance, scalability, and reliability., * Design, develop, and maintain dimensional data models and curated datasets.

• Develop automated and scalable ELT pipelines.
• Build and maintain Fact and Dimension tables.
• Implement data quality monitoring, testing, validation, and automation.
• Partner with business stakeholders, analysts, and data scientists to deliver analytics solutions.
• Support BI platforms, reporting solutions, and dashboard migrations.
• Follow software development best practices, including Git, code reviews, and CI/CD.
• Collaborate with Data Engineering, DevOps, and Architecture teams.
• Participate in Agile/Scrum ceremonies and production support activities.
• Optimize SQL queries and data models for performance and scalability.

• 6+ years of experience in Data Analytics, Analytics Engineering, BI, or Data Engineering.
• Advanced SQL skills, including complex transformations and performance tuning.
• Strong experience with Data Warehousing and Dimensional Data Modeling.
• Hands-on experience designing and maintaining Fact and Dimension tables.
• Strong hands-on experience with Snowflake.
• Experience developing analytics models using dbt.
• Experience with data quality testing and validation.
• Experience with Git, code reviews, and CI/CD.
• Experience with BI tools such as Power BI, Tableau, Qlik, or Business Objects.
• Experience with big data technologies such as Spark, Hadoop, Kafka, Hive, or Sqoop.
• Experience building and consuming APIs.
• Linux experience, preferably RHEL/Debian.
• Scripting experience using Python, Bash, or similar languages.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience working in Agile environments., * 8+ years of experience in data and analytics.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Apache Airflow or similar orchestration tools.
• Experience supporting BI migrations to Power BI.
• Experience with semantic models and modern analytics engineering best practices.

Education

Bachelor s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field is preferred.

Equivalent professional experience will also be considered.

Must-Have Skills