Lead database engineering
3 weeks ago
- Front Door (Understanding requirements from stakeholders for new developments)
- Data architecture, overall information flow & model design
- Knack for understanding functional construct of product and owning the logical model
- Hands on Data Modeling (DWH, ODS, OLTP) with strong knowledge in technologies like Redshift, MS SQL Server, Postgre SQL / My SQL, Vertica, Azure Synapse, Oracle etc.
- Achieve product delivery dates and plan for product enhancements
- Design and Develop complex SQL queries and perform data analysis
- SQL Development across Azure SQL / Postgre SQL / Redshift databases
- Reverse engineer existing SQL code on legacy for rewiring it on new platform
- Part of development team responsible for load (ETL) or integrate external data from various sources
- Creating, maintaining, and troubleshooting database queries and procedures.
- Should possess in-depth knowledge of T-SQL / PL-SQL Programming, Performance Tuning of complex queries. Hands on experience in developing Stored procedures, UDFs, Views, Indexes
- Should have worked on at least 2 end to end BI-DWH projects Nice to have
- Experience in CPG / Manufacturing / Retail domain
- Good understanding of Cloud technologies and related concepts
- Experience in working on Big Data tech (e. G. Py Spark About Company: Algonomy (previously Manthan-Rich Relevance) is a global leader in algorithmic customer engagement powering digital first strategies for retailers and brands. With industry-leading retail expertise in connecting demand to supply with a real-time customer data platform as the foundation, Algonomy enables 1:1 omnichannel personalization, customer journey orchestration and customer analytics with Xen AI at its core. Globally, over 400 retail brands such as HP, L’oreal, Tiffany & Co, Aldi, Mc Donalds, Zalora and Pizza Hut use Algonomy’s made-for-retail solutions to orchestrate hyper-personalized customer engagement and optimize their merchandising and supplier management. Algonomy, which stands for “systematized knowledge of algorithms”, provides rapid time to value across acquisition, conversion, growth and loyalty with its 300+ pre-built algorithms. Headquartered in San Francisco and Bangalore, our presence spans over 20 countries. To learn more, please visit Com/
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