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Lead the design and transformation of secure, scalable cloud and network infrastructures. This strategic role involves driving innovation, automation, and compliance across hybrid environments while collaborating with global stakeholders and cross-functional teams.
Qualifications & Required Skills: Full-Timebachelor's or master's degree in engineering/technology, computer science, information technology, or related fields. 10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage. 8+ years of experience in data engineering development and support. 3+ years of experience in leading technical team of data engineers and BI engineers Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools. Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks. Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions. Strong communication, interpersonal, collaboration skills along with leadership capabilities. Ability to work effectively in a fast-paced, dynamic environment as cloud SME. Act as single point of contact for all kinds of data management related queries to make data decisions. Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems. Conduct continuous audits of data management system performance and refine where necessary. Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed. Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data. Ensure data privacy measures comply with regulatory standards.Preferred* Azure Data Factory (ADF), Databricks certification is a plus.* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake
The Plant Head will have full manufacturing operations responsibility of the business and will be expected to work with the leadership team on strategy that will focus on initiatives to augment the efficiency of the operations to facilitate accelerating development and long-term success.
The Product Manager - CRM leads the design, implementation, and continuous enhancement of the CRM platform, enabling lead management, customer engagement, and retention initiatives. The role bridges business and IT functions to deliver scalable CRM solutions aligned with sales, service, and marketing processes.
The Category Head role in the consumer tech industry, requires a strategic approach to manage and optimise product categories. The position is based in Gurgaon and focuses on driving growth and profitability through effective category management.
The Head of Digital Customer Journey is responsible for designing and leading the end-to-end digital ecosystem that connects all customer touchpoints - from awareness and lead generation to purchase, ownership, and resale. This role defines the overall digital roadmap, ensures integration across CRM, DMS, and Customer App platforms, and aligns the digital strategy with business, marketing, and aftersales objectives.
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