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Lead BI and Data Platform Engineering

Aditya Birla Group

Singapore

On-site

SGD 120,000 - 150,000

Full time

3 days ago
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Job summary

A leading conglomerate is seeking a General Manager to oversee the Data Warehouse Application. Responsibilities include maintaining data quality and system health, implementing best practices, and managing Data Integration and ETL processes. The ideal candidate has 10-15 years of experience and a Post Graduate degree. This role is essential for ensuring operational efficiency and data security.

Qualifications

  • Minimum Experience Level: 10-15 Years.

Responsibilities

  • Maintain the Data Warehouse Application ensuring data quality, veracity, and timeliness.
  • Oversee the overall health of the Data Warehouse system.
  • Implement Backup procedures and maintain Data Security.

Education

Post Graduate degree

Tools

Apache Spark
Hadoop
Azure Data Factory
Azure SQL Database
Tableau
Power BI
Snowflake
AWS
Python

Job description

    The position of General Manager at Apparels, located in Karnataka, India, has the primary responsibility of maintaining the Data Warehouse Application to ensure the Quality, Veracity, and Timeliness of data flow within the system. As the General Manager, you will oversee the overall health of the Data Warehouse system and manage Data Integration with both upstream and down-stream systems.Your main duties will involve Data modelling for the Enterprise Data Warehouse, ETL/Data Integration, Data Quality Processes, ensuring the Performance of the System, managing the overall health of the system including Database Administration and Resource usage, implementing Backup procedures, maintaining Data Security and Access control, and overseeing DevOps activities.Key Result Areas (KRAs):KRA1: Data Modelling- Responsible for Database design and modelling- Implement improvements and optimization to the data modelKRA2: ETL/Data Integration- Develop ETL Packages- Utilize DI tools effectively- Implement Automated Recon processes- Manage Alerts and notificationsKRA3: Overall System Health, Performance, and Backup- Ensure the system is stable and available- Incorporate best practices- Establish a robust backup and failover processKRA4: Data Quality and Security- Develop and implement Data Quality practices- Ensure Data reconciliation with Source systems- Control access to the Database and enforce proper approvals for data usageKRA5: DevOps- Provide support for operations- Lead DB upgrades and maintenance activities- Establish Change management processes for Data Integration and Model changes- Provide on-call support during downtimeQualifications:- Post Graduate degree- Minimum Experience Level: 10-15 YearsYou will report to the Assistant Vice President.,
  • Job Tags etl, data security, database administration
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Data security, Apache Spark, Hadoop,Azure Stack platform, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL Database, ETL processes, Data integration solutions, Data modelling, Data quality assessments, Compliance practices, Cloudbased analytics platforms, Azure Synapse analytics, Big data technologies, DevOps practices, CICD pipelines

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Data security, Apache Spark, Hadoop,Azure Stack platform, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL Database, ETL processes, Data integration solutions, Data modelling, Data quality assessments, Compliance practices, Cloudbased analytics platforms, Azure Synapse analytics, Big data technologies, DevOps practices, CICD pipelines

Business Intelligence, Data Integration, Data Governance, Data Models, Emerging Technologies, Data Management, Data Security, Business Analysis, Stakeholder Management, Communication Skills, Digital Transformation,Oracle NetSuite Analytics Warehouse, NetSuite ERP, Suite Commerce Advanced, Cloudbased Technologies, Integration Architectures, Data Pipelines, Data Governance Models, BI Platforms, SSO Integration, ERP Systems, REST APIs, GraphQL APIs, Compliance Frameworks

Snowflake, Hadoop, Spark, Kafka, AWS, Azure, SQL, Python, data warehousing, Tableau, Power BI, data governance, data security, Agile methodologies, DevOps,legacy EDW, Databricks, Google Cloud, ETL processes, data lakes, GDPR, AIML platforms, realtime data processing, stream analytics

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