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aws sql tableau databricks airflow📋 Description
- Design, build, and maintain scalable data pipelines and ETL/ELT.
- Architect data models and storage for analytics.
- Create BI reports and dashboards with Looker Studio, Power BI, or Tableau.
- Collaborate with data scientists, analysts, and stakeholders on datasets.
- Own parts of the data platform (Airflow, dbt, Spark, Redshift, Snowflake).
- Write high-performance SQL for reporting and analytics.
🎯 Requirements
- 5+ years as Data Engineer or hybrid data/reporting role.
- Strong programming in Python, Java, or Scala.
- Proficiency with Databricks, data modeling (star/schema), and Snowflake/Redshift.
- Hands-on with modern data platforms and orchestration tools (Spark, Kafka, Airflow).
- Proficient in SQL with complex BI/analytics queries.
- Experience with BI tools such as Looker Studio, Power BI, Tableau and ETL/ELT.
🎁 Benefits
- Diversity and inclusion groups.
- Flexible working practices (hybrid).
- Parental leave and family-friendly policies.
- Equal-opportunity employer.
- Accommodation for disabilities.
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