5899 Data Warehousing Jobs - Page 33

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

1. Working experience in SAP BODS( Business object data services) and other ETL tools for 3-4 years. 2. Working experience in RDS (Rapid deployment solution). 3. Working experience in SAP SDI/SDA/SDQ ( Smart Data integration) 4. Working experience in SAP HANA 5. Working experience in some Legacy systems, like JDE (JD Edwards) will be an added advantage. 6. Working experience in Information Steward will be an added advantage. 7. ABAP knowledge is mandatory.

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

Designing, developing, and maintaining reports and templates using Oracle BI Publisher. Collaborates with business users to gather requirements, create data models, and deliver high-quality, formatted reports across various platforms. Requires knowledge of SQL, XML, PL/SQL, and familiarity with reporting tools and databases.

Postgres DBA: 3-8 years of hands-on experience in developing and administering Azure Data Factory solutions for complex data integration projects. Proven experience in migrating databases from MSSQL to PostgreSQL in an Azure environment. Strong proficiency in SQL and experience working with both MSSQL and PostgreSQL databases. Experience with various ADF connectors, transformations, and control flow activities. Understanding of data warehousing concepts and ETL/ELT methodologies. Familiarity with application migration processes and integration patterns, including experience with platforms like PEGA is highly desirable. Experience with scripting languages such as Python or PowerShell for automation tasks.

Job Summary: We are looking for a seasoned Tech Anchor with deep expertise in Big Data technologies and Python to lead technical design, development, and mentoring across data-driven projects. This role demands a strong grasp of scalable data architecture, problem-solving capabilities, and hands-on experience with distributed systems and modern data frameworks. Key Responsibilities: Provide technical leadership across Big Data and Python-based projects Architect, design, and implement scalable data pipelines and processing systems Guide teams on best practices in data modeling, ETL/ELT development, and performance optimization Collaborate with data scientists, analysts, and stakeholders to ensure effective data solutions Conduct code reviews and mentor junior engineers to improve code quality and skills Evaluate and implement new tools and frameworks to enhance data capabilities Troubleshoot complex data-related issues and support production deployments Ensure compliance with data security and governance standards

Job Summary: We are looking for a seasoned Tech Anchor with deep expertise in Big Data technologies and Python to lead technical design, development, and mentoring across data-driven projects. This role demands a strong grasp of scalable data architecture, problem-solving capabilities, and hands-on experience with distributed systems and modern data frameworks. Key Responsibilities: Provide technical leadership across Big Data and Python-based projects Architect, design, and implement scalable data pipelines and processing systems Guide teams on best practices in data modeling, ETL/ELT development, and performance optimization Collaborate with data scientists, analysts, and stakeholders to ensure effective data solutions Conduct code reviews and mentor junior engineers to improve code quality and skills Evaluate and implement new tools and frameworks to enhance data capabilities Troubleshoot complex data-related issues and support production deployments Ensure compliance with data security and governance standards

Dexian India is hiring for Senior Python Data Engineer!!! Location: Chennai / Bangalore Work Mode: 100% WFO Shift: 02:00 PM to 11:00 PM IST Start Date: Immediate Responsibilities Design and develop data pipelines and ETL processes. Collaborate with data scientists and analysts to understand data needs. Maintain and optimize data warehousing solutions. Ensure data quality and integrity throughout the data lifecycle. Develop and implement data validation and cleansing routines. Work with large datasets from various sources. Automate repetitive data tasks and processes. Monitor data systems and troubleshoot issues as they arise. Qualification Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer or similar role (Minimum 8+ years experience as Data Engineer). Strong proficiency in Python and PySpark. Excellent problem-solving abilities. Strong communication skills to collaborate with team members and stakeholders. Individual Contributor

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.

The resource shall have at least 4 to 5 years of hands-on development experience using Alteryx, creating workflows and scheduling them. Shall be responsible for design, development, validation, and troubleshooting the ETL workflows using data from multiple source systems and transforming them in Alteryx for consumption by various PwC developed solutions. Alteryx workflow automation is another task that will come the way. Should have prior experience in maintaining documentation like design documents, mapping logic and technical specifications.