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7.0 - 12.0 years

25 - 30 Lacs

Hyderabad, Bengaluru

Hybrid

Naukri logo

Cloud Data Engineer The Cloud Data Engineer will be responsible for developing the data lake platform and all applications on Azure cloud. Proficiency in data engineering, data modeling, SQL, and Python programming is essential. The Data Engineer will provide design and development solutions for applications in the cloud. Essential Job Functions: Understand requirements and collaborate with the team to design and deliver projects. Design and implement data lake house projects within Azure. Develop application lifecycle utilizing Microsoft Azure technologies. Participate in design, planning, and necessary documentation. Engage in Agile ceremonies including daily standups, scrum, retrospectives, demos, and code reviews. Hands-on experience with Python/SQL development and Azure data pipelines. Collaborate with the team to develop and deliver cross-functional products. Key Skills: a. Data Engineering and SQL b. Python c. PySpark d. Azure Data Lake and ADF e. Databricks f. CI/CD g. Strong communication Other Responsibilities: Document and maintain project artifacts. Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices. Complete training as required for Privacy, Code of Conduct, etc. Promptly report any known or suspected loss, theft, or unauthorized disclosure or use of PI to the General Counsel/Chief Compliance Officer or Chief Information Officer. Adhere to the company's compliance program. Safeguard the company's intellectual property, information, and assets. Other duties as assigned. Minimum Qualifications and Job Requirements: Bachelor's degree in Computer Science. 7 years of hands-on experience in designing and developing distributed data pipelines. 5 years of hands-on experience in Azure data service technologies. 5 years of hands-on experience in Python, SQL, Object-oriented programming, ETL, and unit testing. Experience with data integration with APIs, Web services, Queues. Experience with Azure DevOps and CI/CD as well as agile tools and processes including JIRA, Confluence. *Required: Azure data engineering associate and databricks data engineering certification

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8.0 - 12.0 years

20 - 25 Lacs

Hyderabad, Pune

Hybrid

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Job Title : Data Engineer Work Location : India, Pune / Hyderabad (Hybrid) Responsibilities include: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop data pipelines to extract and transform data in near real time using cloud native technologies. Implement data validation and quality checks to ensure accuracy and consistency. Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and ePiciency. Collaborate with business users, analysts, and other stakeholders to understand data requirements and deliver tailored solutions. Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation. Provide technical guidance and support to team members and stakeholders as needed. Desirable Competencies: 8+ years of work experience Proficiency in writing complex SQL queries on MPP systems (Snowflake/Redshift) Experience in Databricks and Delta tables. Data Engineering experience with Spark/Scala/Python Experience in Microsoft Azure stack (Azure Storage Accounts, Data Factory and Databricks). Experience in Azure DevOps and CI/CD pipelines. Working knowledge of Python Feel comfortable participating in 2-week sprint development cycles. About Us Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home, Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogues and online worldwide. Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the global market.

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6 - 9 years

15 - 25 Lacs

Noida

Hybrid

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Immediate Joiners Preferred Shift:- 12:00 PM to 9:00 PM Mode:- Hybrid Mode Position Summary Someone who is responsible for the Azure Big Data platform in collaboration with vendor partner and Big Data development team. Someone with hands on working experience in Azure Data Analytics using ADLS, Delta Lakes, Cosmos DB, Python and Spark/Scala programing to facilitate a strong, robust and flexible platform. Job Responsibilities Assist Big Data development & Data science team by writing basic Python scripts, Spark & PySpark etc. Assist Big Data development and Data science team in Data Ingestion projects in Azure environment Configure and manage I-a-a-S, P-a-s-S Experience of Azure cloud components: Azure Data Factory Azure Data Lake Azure Data Catalogue Azure LogicApps & FunctionApps Azure Synapse Analytics Azure Databricks Azure EventHub Azure Functions Azure SQL DB Knowledge, Skills and Abilities Education Bachelor's degree in Computer Science, Engineering, or related discipline Experience 5 to 8 years of solutions design & development experience Experience in building Data Ingestion/Transformation pipelines on Azure Cloud Experience in BigData Tools like Spark, Delta Lakes, ADLS, Azure Synapse /Databricks Proficient understanding of distributed computing principles Knowledge and skills (general and technical) Spark, Scala, Python Azure Cosmos DB, Mongo DB Azure Data Factory ADLS-Gen2 Azure Data Lake Azure Data Catalogue Azure LogicApps & FunctionApps Azure Synapse Analytics Azure Databricks Azure EventHub Azure Functions Azure SQL DB

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