Calfus - Senior Data Engineer - BI Analytics in Pune, भारत

About the Role : As a Data Engineer - BI Analytics & DWH, you will contribute to building scalable data infrastructure and efficient data pipelines that power our business intelligence and analytics capabilities. With 6 - 9 years of experience, you will apply your solid foundation in ETL/ELT development, data modelling, and database design to support data warehousing and data lake initiatives. You will also assist in enabling data visualization through tools like Tableau or Power https://jobeax.com/link/C1GBGRjQn8u3Ntgd You will Do : ETL/ELT Development : - Design, build, and maintain efficient ETL and ELT processes using tools such as Azure data factory, Databricks, or similar orchestration frameworks.- Ensure reliable data ingestion from various sources into centralized storage systems (DWH/data lakes).Data Modelling & Warehousing : - Design relational and dimensional data schemas tailored to business use cases in data lakes or traditional data warehouses (e.g., Snowflake, Redshift, Postgres).- Develop and maintain data models optimized for analytics and https://jobeax.com/link/JHSDyoWeh7dK1Xfj Engineering : - Write efficient SQL queries and stored procedures to transform, clean, and aggregate data.- Manage data transformations and complex joins to support analytical https://jobeax.com/link/WJWzZD113CCOAXxK & Visualization Support : - Provide basic support for report and dashboard development in visualization tools such as Tableau or Power BI.- Collaborate with analysts and business users to understand reporting needs and enable self-service https://jobeax.com/link/Lr8g1UAgJ9SOsoP5 & Data Quality : - Monitor and troubleshoot data pipelines and warehouse jobs to ensure timely and accurate data availability.- Apply basic data quality checks and validations to ensure trustworthiness of data https://jobeax.com/link/XDX9cJIdYOHXy9E3 your first day, we will expect you to have : - Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.- 6 - 9 years of experience in data engineering with hands-on ETL/ELT development and data modelling.- Solid SQL skills and experience with database systems such as SQL Server, Postgres, Snowflake, or Redshift.- Exposure to cloud-based services and data tools (e.g., AWS S3, Azure Data Factory, Databricks, Lambda functions).- Basic understanding of data serialization formats like JSON, Parquet, or CSV.- Familiarity with Python for scripting and data manipulation.- Bonus : Exposure to visualization tools such as Power BI, Tableau for dashboard/report creation will be a https://jobeax.com/link/g0yX8Dz9zQE46ASL : At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit. (ref:hirist.tech)