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Role Summary The Zone Network and Security Project Manager will be responsible for the co-ordination of designing, implementing, and maintaining secure IT infrastructure solutions. The role's main responsibility is to ensure the organization's IT systems remain resilient, compliant, and aligned with business objectives. The ideal candidate will have a strong technical background in network engineering and cybersecurity coupled with hands-on experience in project management and cross-functional collaboration. Experience with retail and cloud infrastructure a plus.Key ResponsibilitiesProject Management
Network Engineering and Security
Cloud Infrastructure and Automation
Cybersecurity and Compliance
IT Systems Administration
Collaboration and Support
Qualifications and SkillsTechnical Certifications (bonus but not required)
Technical Expertise
Preferred Experience
Demonstrated experience in deploying, configuring, and maintaining Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) in an enterprise environment, particularly within a large-scale retail contextLocation- HyderabadMode- Hybrid, 3 Days WFO
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
Job Requirements Education* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience*3 - 4 years for Data Scientist* Relevant working experience in a data science/advanced analytics role Behavioural Skills*Delivery Excellence*Business disposition*Social intelligence*Innovation and agility Knowledge* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)*Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)*Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.*Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)*Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)*Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools*Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)* Microsoft Office applications (MS Excel, etc.)
Location- Gurgaon
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