18 Etl Architect Jobs in Mumbai - page 2
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Talend developer Mumbai, Pune high availability and reliability of data integration solutions. Collaboration and Documentation: Collaborate with data architects, data scientists, and other stakeholders to understand data requirements 1000000-2400000 3 days ago
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Senior Data Architect Mumbai, India . The Senior Data Architect will be responsible for tasks including Data Governance, Data Architecture, Data Modeling, Extract Transform Load (ETL), and Data Warehousing. Qualifications Data Governance, Data Not Mentioned 10 days ago
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Matillion Developer Mumbai, India Architect. The solutions must align with EDW, Data mart and Dimensional modeling, ETL standards and guidelines. The data modeling and data integration solutions will be based on Matillion with Snowflake data Not Mentioned 28 days ago
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Principle Data Engineer Mumbai (the ETL Jobs, DB Programs and Queries, Python, Spark, Hive, Cloudera) + Data Architect, Modelling, Governance Roles & Responsibilities : · Manage and oversee DWH/DL On-call support for sustainment Not Mentioned More than 30 days ago
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ETL- Informatica developer Mumbai, India EIC Tech SYS is looking for ETL- Informatica developer to join our dynamic team and embark on a rewarding career journey Requirement Analysis:Collaborate with business analysts, data architects Not Mentioned More than 30 days ago
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Data Engineer_Mumbai Indi, Mumbai . This person will collaborate with other Data Engineers, DBAs, SQL/ETL Developers, DevOps Engineers, Security professionals and Data Science team members, to architect, build, and deploy the platform solutions Not Mentioned More than 30 days ago
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Sr. Principal Engineer ( Java, AWS, Cassandra/MongoDB/DynamoDB) Mumbai, India Who is Forcepoint Forcepoint simplifies security for global businesses and governments. Forcepoint's all-in-one, truly cloud-native platform makes it easy to adopt Zero Trust and prevent the theft Not Mentioned 10 days ago
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Assistant Manager - Technology Thane, India : Collaborate with data architects to design and implement data models that support ETL processes and facilitate effective data retrieval. 4. Performance Tuning : Identify and address performance bottlenecks Not Mentioned 3 days ago
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