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Job Description
What You will do:
- Design, develop, and maintain scalable data pipelines and analytics solutions using Databricks (Spark, Delta Lake)
- Build and optimize SQL-based data models for reporting, analytics, and advanced use cases
- Develop Power BI dashboards and semantic models, ensuring high performance, scalability, and usability
- Implement Python-based data processing, automation, and analytical workflows
- Translate business requirements into end-to-end analytical solutions
- Ensure data quality, consistency, and governance across datasets
- Collaborate with business users, data engineers, and data scientists to deliver impactful insights
- Optimize query performance and costs in cloud-based data platforms
- Support and enhance SAP-integrated analytics, including data extraction and modeling (SAP BODS knowledge is a plus)
- Document solutions, best practices, and technical designs
- 8 years plus experience in Data engineering preferably in the banking industry.
- Strong expertise in Databricks, including Apache Spark, Delta Lake, and notebooks
- Advanced SQL skills (data modeling, performance tuning, complex queries)
- Hands-on Power BI experience, including:
- DAX measures
- Data modeling
- Performance optimization
- Row-level security (RLS)
- Proficiency in Python for data manipulation, automation, and analytics, expertise in Databricks, ADF, Python, SQL, ETL and PowerBI
Looking to get Placed? Try our Placement Guarantee Plan
- Experience working with large-scale datasets in cloud environments
- Strong understanding of ETL/ELT concepts and data warehousing principles
- Pay for performance culture (Competitive and performance-linked compensation)
- Provision of medical care plan for your family and you
- Comprehensive Life insurance plan
- Diverse workforce and inclusive culture
- Career development and growth opportunities by design
- Work with the best minds in the field
- Get opportunities to bring your whole-self to the organization and perform to your best
Skills
PythonData ManipulationData ModelingData WarehousingDaxEtlData ExtractionData ProcessingAnalyticsSqlMachine LearningData EngineerIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
11 Apr 26, 01:36 PM IST
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