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Job Description
- Design, develop, and maintain analytics-ready datasets using modern data stack tools
- Transform raw data into clean, well-documented, and reliable datasets for analytics and BI use cases
- Develop state of the art, interactive dashboards
- Own the analytics layer of the data warehouse, ensuring consistency, accuracy, and performance
- Partner with analytics engineers to define upstream data requirements and improve data ingestion pipelines
- Collaborate with analysts and business stakeholders to translate business needs into scalable data models
- Oversee data quality checks, testing, and monitoring of the existing pipelines
- Optimize queries and models for performance and cost efficiency
- 3+ years of experience in analytics engineering, data engineering, or advanced analytics roles
- Strong proficiency in SQL
- Hands-on experience with modern data transformation tools (e.g., Dbt or similar)
- Hands-on experience with Azure Data Factory (ADF) for orchestration and pipeline development
- Strong experience with Azure Databricks (PySpark, Delta Lake, SQL) for data transformation
- Experience working with Azure Synapse Analytics or similar cloud data warehouse platforms
- Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks
- Experience working with BI tools such as Domo, PowerBI, Tableau, or Looker
- Strong understanding of data warehousing concepts, ETL/ELT pipelines, and analytics best practices
- Experience supporting BI and analytics tools
- Ability to translate complex business problems into scalable data solutions
- Strong communication skills and ability to work cross-functionally
Skills
DBTETLADFSQLAzure DatabricksData EngineeringTableauLookerPySparkDbtSnowflakeDatabricksBigQueryRedshiftData WarehousingIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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