Description

You will partner with business stakeholders, analysts, data scientists, and engineers to deliver high-quality data products and ensure data quality, performance, and reliability.

Responsibilities

• Design and maintain dimensional data models and curated datasets.
• Develop automated, scalable ELT pipelines.
• Implement data quality monitoring, testing, and automation.
• Partner with business users, analysts, and data scientists to deliver analytics solutions.
• Support BI platforms, reporting, and dashboard migrations.
• Use 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.

Qualifications

• Required
  • 6+ years in Data Analytics, Analytics Engineering, BI, or Data Engineering.
  • Advanced SQL skills, including complex transformations and performance tuning.
  • Strong Data Warehousing and Dimensional Data Modeling experience.
  • Experience designing and maintaining Fact and Dimension tables.
  • 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 (RHEL/Debian).
  • Scripting experience using Python, Bash, or similar languages.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.
• Preferred
  • 8+ years in data and analytics.
  • Experience with Cloud platforms (AWS, Azure, or GCP).
  • Experience with Apache Airflow or similar orchestration tools.
  • Experience supporting BI migrations to Power BI.
  • Experience with semantic models and analytics engineering best practices.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field

Key Skills

Education

Any Graduate