71 Data Warehouse jobs in India
Snowflake Architect
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Job Description
**Key Skills**:
- Expertise in Snowflake - data modelling, ELT using Snowflake SQL,
implementing complex stored Procedures with JAVA and standard DWH and
ETL concepts
Expertise in Cloud Azure/AWS
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Data Warehouse Engineer
Posted today
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Job Description
Position - Data Warehouse Developer
Location - Mumbai
Total Experience - 8+ years
Domain/Vertical Insurance and Financial Services
Qualifications Educational • M. Sc / MCA / B.E / B. Tech: Computer Science or IT
Certification • Certifications in BI Tools or Cloud Data Platforms (Desirable)
Technical Mandatory Skills:
• 5+ years into Data Warehouse Development
• Strong proficiency in SQL and experience with various relational andnon-relational databases.
• ETL/ELT tools and methodologies (e.g., SSIS, Data Factory,Informatica, Talend, etc.).
• Solid understanding of data warehousing concepts, including Kimball and Inmon methodologies.
• Data modeling (dimensional modeling, snowflake, star schemas).
• Cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery) is a plus.
• Data visualization tools (e.g., Power BI, Tableau) is beneficial.
Knowledge required:
• Big data technologies (e.g., Spark, Hadoop).
• Scripting languages (e.g., Python, PowerShell).
• Version control systems (e.g., Git).
• ETL / Visualization tools (e.g. SQL, Informatica, QlikView, PowerBI etc.)
Please contact - Saanvi Gandhi
| 77108 44668 - Whatsapp
Data Warehouse Engineer
Posted today
Job Viewed
Job Description
Location - Mumbai
Total Experience - 8+ years
Domain/Vertical Insurance and Financial Services
Qualifications Educational • M. Sc / MCA / B.E / B. Tech: Computer Science or IT
Certification • Certifications in BI Tools or Cloud Data Platforms (Desirable)
Technical Mandatory Skills:
• 5+ years into Data Warehouse Development
• Strong proficiency in SQL and experience with various relational andnon-relational databases.
• ETL/ELT tools and methodologies (e.g., SSIS, Data Factory,Informatica, Talend, etc.).
• Solid understanding of data warehousing concepts, including Kimball and Inmon methodologies.
• Data modeling (dimensional modeling, snowflake, star schemas).
• Cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery) is a plus.
• Data visualization tools (e.g., Power BI, Tableau) is beneficial.
Knowledge required:
• Big data technologies (e.g., Spark, Hadoop).
• Scripting languages (e.g., Python, PowerShell).
• Version control systems (e.g., Git).
• ETL / Visualization tools (e.g. SQL, Informatica, QlikView, PowerBI etc.)
Please contact - Saanvi Gandhi
| 77108 44668 - Whatsapp
Data Warehouse Engineer
Posted today
Job Viewed
Job Description
Position - Data Warehouse Developer
Location - Mumbai
Total Experience - 8+ years
Domain/Vertical Insurance and Financial Services
Qualifications Educational • M. Sc / MCA / B.E / B. Tech: Computer Science or IT
Certification • Certifications in BI Tools or Cloud Data Platforms (Desirable)
Technical Mandatory Skills:
• 5+ years into Data Warehouse Development
• Strong proficiency in SQL and experience with various relational andnon-relational databases.
• ETL/ELT tools and methodologies (e.g., SSIS, Data Factory,Informatica, Talend, etc.).
• Solid understanding of data warehousing concepts, including Kimball and Inmon methodologies.
• Data modeling (dimensional modeling, snowflake, star schemas).
• Cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery) is a plus.
• Data visualization tools (e.g., Power BI, Tableau) is beneficial.
Knowledge required:
• Big data technologies (e.g., Spark, Hadoop).
• Scripting languages (e.g., Python, PowerShell).
• Version control systems (e.g., Git).
• ETL / Visualization tools (e.g. SQL, Informatica, QlikView, PowerBI etc.)
Please contact - Saanvi Gandhi
| 77108 44668 - Whatsapp
Qlik/Data Warehouse
Posted today
Job Viewed
Job Description
• Experience with security management in Cognos BI
• Experience with Cognos BI backup and restore
• Experience with reading through application logs to work through problems finding root causes, and rectifying them.
• Experience with alternative authentication providers such as SSO and Active Directory.
• 2+ Years of Qlik Administration.
• Expert knowledge of Qlik Virtual Proxies and configurations.
• Strong expertise in working with Qlik Sense.
• Expert knowledge of report development execution in a complex environment.
• Strong Experience in configuring Qlik security at the object and data levels.
• Experience in data visualizations (DV) is a plus.
• Knowledge of performance-tuning Qlik Sense applications.
• Strong experience with SQL queries, Stored Procedures, SQL debugging & Triggers
Data Warehouse Architect
Posted today
Job Viewed
Job Description
Design and Develop enterprise data warehouse system and data analytics solution.
rchitect overall data flow / data supply chain for both external application and reporting systems
esign and work with developers to implement best practices and do process performance improvements.
reate Source- Target mapping documents and work closely with the Architect
reate Data flow diagrams / ERD diagrams and help develop optimal Data modelling solution
evelop ETL layer including SSIS processes / Stored Procedures / SQL to support the data warehouse system.
aintain an incident log and research areas that can improve performance.
Data Warehouse Analyst
Posted today
Job Viewed
Job Description
Develop and document standards, policies, and procedures for the form, structure, and attributes of the business intelligence tools and systems.
Interact with the user community to produce reporting requirements.
Work on multiple projects as a team member and may lead projects of moderate complexity.
Reviews and validates data loaded into the data warehouse for accuracy.
Responsible for prototyping solutions, preparing test scripts, and conducting tests and data replication, extraction, loading, cleansing, and data modeling for data warehouses.
Provide technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
Provide data warehouse architectural design, development, and support in multi-platform environments.
Performs analyses, development, and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata, and repository creation.
Maintain knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments
Responsible for gathering and assessing business information needs and preparing system requirements.
Candidate should have:
Strong verbal and written communications, team collaboration, time management.
Demonstrated skills in leadership and training of complex technical subject matter to the audience of various levels of technical knowledge.
Intermediate to Expert knowledge of PowerBI.
Intermediate to Expert working knowledge of data warehouse and data mart concepts.
Intermediate to Expert working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools
7 to 10 years of IT work experience in business intelligence tools and systems.
Intermediate to Expert working knowledge of SQL.
Intermediate to Expert working knowledge of Informatica (sustainment and Administration).
Bachelor's or Master's Degree in Computer Science/Engineering, Information Systems, Business Analytics/Intelligence, Data Science or other related fields. Equivalent work experience may be considered.
Data Warehouse Developer
Posted today
Job Viewed
Job Description
• Analyzes Black Knight's operations to facilitate data extraction, transformation, and loading (ETL) against Black Knight and industry standards
• Gathers and analyzes data requirements, application and processing architectures, data dictionaries, and database and schema(s)
• Performs data analysis to enhance and maintain Security reporting for the company.
• Develop and delivers innovative business solutions to our internal clients
• Defines Schema and other data requirements to successfully exchange business risk data.
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Data Warehouse Lead
Posted today
Job Viewed
Job Description
Develop and document standards, policies, and procedures for the form, structure, and attributes of the business intelligence tools and systems.
Interact with the user community to produce reporting requirements.
Work on multiple projects as a team member and may lead projects of moderate complexity.
Reviews and validates data loaded into the data warehouse for accuracy.
Responsible for prototyping solutions, preparing test scripts, and conducting tests and data replication, extraction, loading, cleansing, and data modeling for data warehouses.
Provide technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
Provide data warehouse architectural design, development, and support in multi-platform environments.
Performs analyses, development, and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata, and repository creation.
Maintain knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments
Responsible for gathering and assessing business information needs and preparing system requirements.
Candidate should have:
Strong verbal and written communications, team collaboration, time management.
Demonstrated skills in leadership and training of complex technical subject matter to the audience of various levels of technical knowledge.
Intermediate to Expert knowledge of PowerBI.
Intermediate to Expert working knowledge of data warehouse and data mart concepts.
Intermediate to Expert working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools
7 to 10 years of IT work experience in business intelligence tools and systems.
Intermediate to Expert working knowledge of SQL.
Intermediate to Expert working knowledge of Informatica (sustainment and Administration).
Bachelor' s
or Master's Degree in Computer Science/Engineering, Information Systems, Business Analytics/Intelligence, Data Science or other related fields. Equivalent work experience may be considered.
Data Warehouse Developer
Posted today
Job Viewed
Job Description
Develop and document standards, policies, and procedures for the form, structure, and attributes of the business intelligence tools and systems.
Interact with the user community to produce reporting requirements.
Work on multiple projects as a team member and may lead projects of moderate complexity.
Reviews and validates data loaded into the data warehouse for accuracy.
Responsible for prototyping solutions, preparing test scripts, and conducting tests and data replication, extraction, loading, cleansing, and data modeling for data warehouses.
Provide technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
Provide data warehouse architectural design, development, and support in multi-platform environments.
Performs analyses, development, and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata, and repository creation.
Maintain knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments
Responsible for gathering and assessing business information needs and preparing system requirements.
Candidate should have:
Strong verbal and written communications, team collaboration, time management.
Demonstrated skills in leadership and training of complex technical subject matter to the audience of various levels of technical knowledge.
Intermediate to Expert knowledge of PowerBI.
Intermediate to Expert working knowledge of data warehouse and data mart concepts.
Intermediate to Expert working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools
7 to 10 years of IT work experience in business intelligence tools and systems.
Intermediate to Expert working knowledge of SQL.
Intermediate to Expert working knowledge of Informatica (sustainment and Administration).
Bachelor's or Master's Degree in Computer Science/Engineering, Information Systems, Business Analytics/Intelligence, Data Science or other related fields. Equivalent work experience may be considered.